Jure Leskovec

According to our database1, Jure Leskovec authored at least 198 papers between 2003 and 2019.

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2019
SIGKDD Impact Program 2018.
SIGKDD Explorations, 2019

Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities.
Information Fusion, 2019

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems.
Proceedings of the World Wide Web Conference, 2019

The First International Workshop on Knowledge Graph Technology and Applications.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Predicting pregnancy using large-scale datafrom a women's health tracking mobile application.
Proceedings of the World Wide Web Conference, 2019

Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal.
Proceedings of the World Wide Web Conference, 2019

Panel: Computational Methods about Knowledge Graph.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

The Local Closure Coefficient: A New Perspective On Network Clustering.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019


Predicting the Visual Focus of Attention in Multi-Person Discussion Videos.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Predicting dominance in multi-person videos.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Position-aware Graph Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

How Powerful are Graph Neural Networks?
Proceedings of the 7th International Conference on Learning Representations, 2019

Categorizing User Sessions at Pinterest.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

Inferring Multidimensional Rates of Aging from Cross-Sectional Data.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Faithful and Customizable Explanations of Black Box Models.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Modeling polypharmacy side effects with graph convolutional networks.
Bioinformatics, 2018

The Shifting Landscape of Web Search and Mining: Past, Present, and Future.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Modeling Individual Cyclic Variation in Human Behavior.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Modeling Interdependent and Periodic Real-World Action Sequences.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Community Interaction and Conflict on the Web.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Welcome on Behalf of the Wiki Workshop Chairs & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

MIS2: Misinformation and Misbehavior Mining on the Web.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Large-scale analysis of disease pathways in the human interactome.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hierarchical Graph Representation Learning with Differentiable Pooling.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Embedding Logical Queries on Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dynamic Network Model from Partial Observations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Graph Convolutional Neural Networks for Web-Scale Recommender Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning Structural Node Embeddings via Diffusion Wavelets.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Do Diffusion Protocols Govern Cascade Growth?
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
SnapVX: A Network-Based Convex Optimization Solver.
J. Mach. Learn. Res., 2017

Inferring Person-to-person Proximity Using WiFi Signals.
IMWUT, 2017

Representation Learning on Graphs: Methods and Applications.
IEEE Data Eng. Bull., 2017

Predicting multicellular function through multi-layer tissue networks.
Bioinformatics, 2017

Why We Read Wikipedia.
Proceedings of the 26th International Conference on World Wide Web, 2017

How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Understanding Online Collection Growth Over Time: A Case Study of Pinterest.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

An Army of Me: Sockpuppets in Online Discussion Communities.
Proceedings of the 26th International Conference on World Wide Web, 2017

Antisocial Behavior on the Web: Characterization and Detection.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Predicting Intent Using Activity Logs: How Goal Specificity and Temporal Range Affect User Behavior.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Motifs in Temporal Networks.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Inductive Representation Learning on Large Graphs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Local Higher-Order Graph Clustering.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Network Inference via the Time-Varying Graphical Lasso.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Community Identity and User Engagement in a Multi-Community Landscape.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Loyalty in Online Communities.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

Modeling Affinity based Popularity Dynamics.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Large-scale graph representation learning.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014.
TKDD, 2016

SNAP: A General-Purpose Network Analysis and Graph-Mining Library.
ACM TIST, 2016

Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health.
TACL, 2016

Growing Wikipedia Across Languages via Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016

Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes.
Proceedings of the 25th International Conference on World Wide Web, 2016

Do Cascades Recur?
Proceedings of the 25th International Conference on World Wide Web, 2016

Improving Website Hyperlink Structure Using Server Logs.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Seeing the forest for the trees: new approaches to forecasting cascades.
Proceedings of the 8th ACM Conference on Web Science, 2016

Beyond nodes and edges: multiresolution algorithms for network data.
Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics, 2016

Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Interpretable Decision Sets: A Joint Framework for Description and Prediction.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

node2vec: Scalable Feature Learning for Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Driver identification using automobile sensor data from a single turn.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Learning Linguistic Descriptors of User Roles in Online Communities.
Proceedings of the First Workshop on NLP and Computational Social Science, 2016

2015
The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility.
JAMIA, 2015

Information cartography.
Commun. ACM, 2015

Large Scale Network Analytics with SNAP: Tutorial at the World Wide Web 2015 Conference.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns.
Proceedings of the 24th International Conference on World Wide Web, 2015

Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily.
Proceedings of the 24th International Conference on World Wide Web, 2015

Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org.
Proceedings of the 24th International Conference on World Wide Web, 2015

Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia.
Proceedings of the 24th International Conference on World Wide Web, 2015

New Directions in Recommender Systems.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Ringo: Interactive Graph Analytics on Big-Memory Machines.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

A Bayesian Framework for Modeling Human Evaluations.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Tensor Spectral Clustering for Partitioning Higher-order Network Structures.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Inferring Networks of Substitutable and Complementary Products.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Network Lasso: Clustering and Optimization in Large Graphs.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Antisocial Behavior in Online Discussion Communities.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

2014
Discovering social circles in ego networks.
TKDD, 2014

Structure and Overlaps of Ground-Truth Communities in Networks.
ACM TIST, 2014

Geospatial Structure of a Planetary-Scale Social Network.
IEEE Trans. Comput. Social Systems, 2014

Exploiting Social Network Structure for Person-to-Person Sentiment Analysis.
TACL, 2014

Overlapping Communities Explain Core-Periphery Organization of Networks.
Proceedings of the IEEE, 2014

Uncovering the structure and temporal dynamics of information propagation.
Network Science, 2014

Visualizing information networks: the 2011 Fukushima earthquake.
AI Matters, 2014

Finding progression stages in time-evolving event sequences.
Proceedings of the 23rd International World Wide Web Conference, 2014

The bursty dynamics of the Twitter information network.
Proceedings of the 23rd International World Wide Web Conference, 2014

Can cascades be predicted?
Proceedings of the 23rd International World Wide Web Conference, 2014

Status and friendship: mechanisms of social network evolution.
Proceedings of the 23rd International World Wide Web Conference, 2014

Engaging with massive online courses.
Proceedings of the 23rd International World Wide Web Conference, 2014

Detecting cohesive and 2-mode communities indirected and undirected networks.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

The last click: why users give up information network navigation.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

How Community Feedback Shapes User Behavior.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Mining of Massive Datasets, 2nd Ed.
Cambridge University Press, ISBN: 978-1107077232, 2014

2013
NIFTY: a system for large scale information flow tracking and clustering.
Proceedings of the 22nd International World Wide Web Conference, 2013

From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews.
Proceedings of the 22nd International World Wide Web Conference, 2013

How status and reputation shape human evaluations: consequences for recommender systems.
Proceedings of the 22nd International World Wide Web Conference, 2013

No country for old members: user lifecycle and linguistic change in online communities.
Proceedings of the 22nd International World Wide Web Conference, 2013

Steering user behavior with badges.
Proceedings of the 22nd International World Wide Web Conference, 2013

Overlapping community detection at scale: a nonnegative matrix factorization approach.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Structure and dynamics of information pathways in online media.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Hidden factors and hidden topics: understanding rating dimensions with review text.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Nonparametric Multi-group Membership Model for Dynamic Networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Information cartography: creating zoomable, large-scale maps of information.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Modeling Information Propagation with Survival Theory.
Proceedings of the 30th International Conference on Machine Learning, 2013

Community Detection in Networks with Node Attributes.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Channeling the deluge: research challenges for big data and information systems.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

A computational approach to politeness with application to social factors.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Measurement error in network data: A re-classification.
Social Networks, 2012

Human wayfinding in information networks.
Proceedings of the 21st World Wide Web Conference 2012, 2012

The life and death of online groups: predicting group growth and longevity.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Effects of user similarity in social media.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Learning to Discover Social Circles in Ego Networks.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Information diffusion and external influence in networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Discovering value from community activity on focused question answering sites: a case study of stack overflow.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Automatic Versus Human Navigation in Information Networks.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Latent Multi-group Membership Graph Model.
Proceedings of the 29th International Conference on Machine Learning, 2012

Community-Affiliation Graph Model for Overlapping Network Community Detection.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Defining and Evaluating Network Communities Based on Ground-Truth.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Clash of the Contagions: Cooperation and Competition in Information Diffusion.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Learning Attitudes and Attributes from Multi-aspect Reviews.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Human navigation in networks.
Proceedings of the 23rd ACM Conference on Hypertext and Social Media, 2012

Image Labeling on a Network: Using Social-Network Metadata for Image Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
HADI: Mining Radii of Large Graphs.
TKDD, 2011

Social media analytics: tracking, modeling and predicting the flow of information through networks.
Proceedings of the 20th International Conference on World Wide Web, 2011

Dynamics of bidding in a P2P lending service: effects of herding and predicting loan success.
Proceedings of the 20th International Conference on World Wide Web, 2011

Social media: source of information or bunch of noise.
Proceedings of the 20th International Conference on World Wide Web, 2011

Patterns of temporal variation in online media.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Correcting for missing data in information cascades.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Supervised random walks: predicting and recommending links in social networks.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model.
Proceedings of the UAI 2011, 2011

The role of social networks in online shopping: information passing, price of trust, and consumer choice.
Proceedings of the Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), 2011

The Network Completion Problem: Inferring Missing Nodes and Edges in Networks.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Friendship and mobility: user movement in location-based social networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Sentiment Flow Through Hyperlink Networks.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Kronecker Graphs.
Proceedings of the Graph Algorithms in the Language of Linear Algebra, 2011

2010
Kronecker Graphs: An Approach to Modeling Networks.
J. Mach. Learn. Res., 2010

Empirical comparison of algorithms for network community detection.
Proceedings of the 19th International Conference on World Wide Web, 2010

Predicting positive and negative links in online social networks.
Proceedings of the 19th International Conference on World Wide Web, 2010

Multiplicative Attribute Graph Model of Real-World Networks.
Proceedings of the Algorithms and Models for the Web-Graph - 7th International Workshop, 2010

Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations.
Proceedings of the SIAM International Conference on Data Mining, 2010

On the Convexity of Latent Social Network Inference.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Inferring networks of diffusion and influence.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Citing for high impact.
Proceedings of the 2010 Joint International Conference on Digital Libraries, 2010

Governance in Social Media: A Case Study of the Wikipedia Promotion Process.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

Modeling Information Diffusion in Implicit Networks.
Proceedings of the ICDM 2010, 2010

Signed networks in social media.
Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

2009
Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters.
Internet Mathematics, 2009

ShatterPlots: Fast Tools for Mining Large Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2009

Meme-tracking and the dynamics of the news cycle.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Modeling Blog Dynamics.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

Tutorial summary: Large social and information networks: opportunities for ML.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Networks, communities and kronecker products.
Proceedings of the Proceeding of the ACM First International Workshop on Complex Networks Meet Information & Knowledge Management, 2009

2008
Epidemic thresholds in real networks.
ACM Trans. Inf. Syst. Secur., 2008

Statistical properties of community structure in large social and information networks.
Proceedings of the 17th International Conference on World Wide Web, 2008

Planetary-scale views on a large instant-messaging network.
Proceedings of the 17th International Conference on World Wide Web, 2008

Mobile call graphs: beyond power-law and lognormal distributions.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Microscopic evolution of social networks.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Social networks: looking ahead.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Monitoring Network Evolution using MDL.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
Graph evolution: Densification and shrinking diameters.
TKDD, 2007

Web projections: learning from contextual subgraphs of the web.
Proceedings of the 16th International Conference on World Wide Web, 2007

Patterns of Cascading Behavior in Large Blog Graphs.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Diffusion and Cascading Behavior in Networks.
Proceedings of the Mining Massive Data Sets for Security, 2007

Cost-effective outbreak detection in networks.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Information Survival Threshold in Sensor and P2P Networks.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Finding patterns in blog shapes and blog evolution.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

Scalable modeling of real graphs using Kronecker multiplication.
Proceedings of the Machine Learning, 2007

2006
GMine: A System for Scalable, Interactive Graph Visualization and Mining.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

The dynamics of viral marketing.
Proceedings of the Proceedings 7th ACM Conference on Electronic Commerce (EC-2006), 2006

Patterns of Influence in a Recommendation Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Sampling from large graphs.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Data association for topic intensity tracking.
Proceedings of the Machine Learning, 2006

2005
Modeling Link Qualities in a Sensor Network.
Informatica (Slovenia), 2005

Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Graphs over time: densification laws, shrinking diameters and possible explanations.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Impact of Linguistic Analysis on the Semantic Graph Coverage and Learning of Document Extracts.
Proceedings of the Proceedings, 2005

2003
The Download Estimation task on KDD Cup 2003.
SIGKDD Explorations, 2003

Linear Programming Boosting for Uneven Datasets.
Proceedings of the Machine Learning, 2003


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