Bruno Ribeiro

Mach. Learn., July, 2023

GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts.

[BibT_eX]

[DOI]

CoRR, 2023

MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Subgraph GNNs by Learning Effective Selection Policies.

[BibT_eX]

[DOI]

CoRR, 2023

An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes.

[BibT_eX]

[DOI]

Jincheng Zhou

Beatrice Bevilacqua

CoRR, 2023

MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning.

[BibT_eX]

[DOI]

Muhammad Ashraful Alam

CoRR, 2023

Double Permutation Equivariance for Knowledge Graph Completion.

[BibT_eX]

[DOI]

Jianfei Gao

CoRR, 2023

Causal Lifting and Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Veritas: Answering Causal Queries from Video Streaming Traces.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Effective passive membership inference attacks in federated learning against overparameterized models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Pro-Active Defense Framework for IoT Systems.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Collaboration and Internet Computing, 2023

Active learning approaches to analysis of thin-film printed sensors for determining nitrate levels in soil.

[BibT_eX]

[DOI]

Proceedings of the Color Imaging XXVIII: Displaying, 2023

2022

Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation.

[BibT_eX]

[DOI]

Vinícius Vitor dos Santos Dias

Mayank Kakodkar

Data Min. Knowl. Discov., 2022

Bias Challenges in Counterfactual Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2022

OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs.

[BibT_eX]

[DOI]

Gitta Kutyniok

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Equivalence Between Temporal and Static Equivariant Graph Representations.

[BibT_eX]

[DOI]

Jianfei Gao

Proceedings of the International Conference on Machine Learning, 2022

Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Xatu: Richer Neural Network Based Prediction for Video Streaming.

[BibT_eX]

[DOI]

Proc. ACM Meas. Anal. Comput. Syst., 2021

Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery.

[BibT_eX]

[DOI]

J. Intell. Manuf., 2021

Set Twister for Single-hop Node Classification.

[BibT_eX]

[DOI]

Vinayak A. Rao

CoRR, 2021

Contextual Unsupervised Outlier Detection in Sequences.

[BibT_eX]

[DOI]

CoRR, 2021

On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions.

[BibT_eX]

[DOI]

Jianfei Gao

CoRR, 2021

Explaining classification performance and bias via network structure and sampling technique.

[BibT_eX]

[DOI]

Appl. Netw. Sci., 2021

Reconstruction for Powerful Graph Representations.

[BibT_eX]

[DOI]

Leonardo Cotta

Christopher Morris

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms.

[BibT_eX]

[DOI]

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

A Collective Learning Framework to Boost GNN Expressiveness for Node Classification.

[BibT_eX]

[DOI]

Mengyue Hang

Proceedings of the 38th International Conference on Machine Learning, 2021

Size-Invariant Graph Representations for Graph Classification Extrapolations.

[BibT_eX]

[DOI]

Beatrice Bevilacqua

Proceedings of the 38th International Conference on Machine Learning, 2021

Neural Networks for Learning Counterfactual G-Invariances from Single Environments.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Membership Inference Attacks and Defenses in Classification Models.

[BibT_eX]

[DOI]

Proceedings of the CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy, 2021

2020

On New Group Popularity Prediction in Event-Based Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection.

[BibT_eX]

[DOI]

EPJ Data Sci., 2020

Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation.

[BibT_eX]

[DOI]

Vinícius Vitor dos Santos Dias

Mayank Kakodkar

CoRR, 2020

Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms.

[BibT_eX]

[DOI]

CoRR, 2020

A Collective Learning Framework to Boost GNN Expressiveness.

[BibT_eX]

[DOI]

Mengyue Hang

CoRR, 2020

Membership Inference Attacks and Defenses in Supervised Learning via Generalization Gap.

[BibT_eX]

[DOI]

CoRR, 2020

Pitfalls of data-driven networking: A case study of latent causal confounders in video streaming.

[BibT_eX]

[DOI]

Panchapakesan C. Sruthi

Sanjay G. Rao

Proceedings of the 2020 Workshop on Network Meets AI & ML, 2020

Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models.

[BibT_eX]

[DOI]

Leonardo Cotta

Ananthram Swami

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Experience: towards automated customer issue resolution in cellular networks.

[BibT_eX]

[DOI]

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

On the Equivalence between Positional Node Embeddings and Structural Graph Representations.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020

Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

Practical characterization of large networks using neighborhood information.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

Deep Lifetime Clustering.

[BibT_eX]

[DOI]

CoRR, 2019

On the Equivalence between Node Embeddings and Structural Graph Representations.

[BibT_eX]

[DOI]

CoRR, 2019

Are Graph Neural Networks Miscalibrated?

[BibT_eX]

[DOI]

Leonardo Teixeira

Brian Jalaian

CoRR, 2019

Curated Pathways to Innovation: Personalized CS Education to Promote Diversity.

[BibT_eX]

[DOI]

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

GrAPL Keynote 2.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Relational Pooling for Graph Representations.

[BibT_eX]

[DOI]

Ryan L. Murphy

Vinayak A. Rao

Proceedings of the 36th International Conference on Machine Learning, 2019

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs.

[BibT_eX]

[DOI]

Ryan L. Murphy

Vinayak A. Rao

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Feedforward Neural Networks for Caching: n Enough or Too Much?

[BibT_eX]

[DOI]

Vladyslav Fedchenko

Giovanni Neglia

SIGMETRICS Perform. Evaluation Rev., 2018

Selective harvesting over networks.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2018

Feedforward Neural Networks for Caching: Enough or Too Much?

[BibT_eX]

[DOI]

Vladyslav Fedchenko

Giovanni Neglia

CoRR, 2018

Graph Pattern Mining and Learning through User-defined Relations (Extended Version).

[BibT_eX]

[DOI]

Leonardo Cotta

CoRR, 2018

SBG-sketch: a self-balanced sketch for labeled-graph stream summarization.

[BibT_eX]

[DOI]

Mohamed S. Hassan

Walid G. Aref

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

Tracking Groups in Mobile Network Traces.

[BibT_eX]

[DOI]

Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018

Oboe: auto-tuning video ABR algorithms to network conditions.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

On Group Popularity Prediction in Event-Based Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Graph Pattern Mining and Learning through User-Defined Relations.

[BibT_eX]

[DOI]

Leornado Cotta

Proceedings of the IEEE International Conference on Data Mining, 2018

From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets.

[BibT_eX]

[DOI]

Pedro H. P. Savarese

Mayank Kakodkar

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Detecting Anomalies in Sequential Data with Higher-order Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls.

[BibT_eX]

[DOI]

Jiasen Yang

CoRR, 2017

Identifying User Survival Types via Clustering of Censored Social Network Data.

[BibT_eX]

[DOI]

CoRR, 2017

Should We Be Confident in Peer Effects Estimated From Social Network Crawls?

[BibT_eX]

[DOI]

Jiasen Yang

Flavio V. D. de Figueiredo

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016

Detecting Cluster with Temporal Information in Sparse Dynamic Graph.

[BibT_eX]

[DOI]

CoRR, 2016

TribeFlow: Mining & Predicting User Trajectories.

[BibT_eX]

[DOI]

Jussara M. Almeida

Christos Faloutsos

Proceedings of the 25th International Conference on World Wide Web, 2016

On the Duration and Intensity of Competitions in Nonlinear Pólya Urn Processes with Fitness.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

Inference in OSNs via Lightweight Partial Crawls.

[BibT_eX]

[DOI]

Jithin Kazuthuveettil Sreedharan

Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

Mining Online Music Listening Trajectories.

[BibT_eX]

[DOI]

Flavio V. D. de Figueiredo

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015

Bayesian Inference of Online Social Network Statistics via Lightweight Random Walk Crawls.

[BibT_eX]

[DOI]

Jithin Kazuthuveettil Sreedharan

CoRR, 2015

Beyond Models: Forecasting Complex Network Processes Directly from Data.

[BibT_eX]

[DOI]

Minh X. Hoang

Ambuj K. Singh

Proceedings of the 24th International Conference on World Wide Web, 2015

Challenges of Forecasting and Measuring a Complex Networked World.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Modeling Website Popularity Competition in the Attention-Activity Marketplace.

[BibT_eX]

[DOI]

Christos Faloutsos

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

2014

Characterization of User Online Dating Behavior and Preference on a Large Online Dating Site.

[BibT_eX]

[DOI]

Proceedings of the Social Network Analysis - Community Detection and Evolution, 2014

Efficiently Estimating Motif Statistics of Large Networks.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2014

Who is Dating Whom: Characterizing User Behaviors of a Large Online Dating Site.

[BibT_eX]

[DOI]

CoRR, 2014

Online dating recommendations: matching markets and learning preferences.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

Modeling and predicting the growth and death of membership-based websites.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

Classifying latent infection states in complex networks.

[BibT_eX]

[DOI]

Yeon-Sup Lim

Proceedings of the 23rd International World Wide Web Conference, 2014

Efficient network generation under general preferential attachment.

[BibT_eX]

[DOI]

James Atwood

Flavio V. D. de Figueiredo

Proceedings of the 23rd International World Wide Web Conference, 2014

Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Pay few, influence most: Online myopic network covering.

[BibT_eX]

[DOI]

Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014

The socio-monetary incentives of online social network malware campaigns.

[BibT_eX]

[DOI]

Proceedings of the second ACM conference on Online social networks, 2014

2013

On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2013

Efficiently Estimating Subgraph Statistics of Large Networks in the Dark.

[BibT_eX]

[DOI]

CoRR, 2013

Understanding the growth and death of online social networks: evidence and model.

[BibT_eX]

[DOI]

CoRR, 2013

Characterizing branching processes from sampled data.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

A study of user behavior on an online dating site.

[BibT_eX]

[DOI]

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

Online Myopic Network Covering

[BibT_eX]

[DOI]

CoRR, 2012

Quantifying the effect of temporal resolution in time-varying network

[BibT_eX]

[DOI]

Nicola Perra

Andrea Baronchelli

CoRR, 2012

Characterizing continuous time random walks on time varying graphs.

[BibT_eX]

[DOI]

Daniel R. Figueiredo

Philippe Nain

Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

Sampling directed graphs with random walks.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Multiple random walks to uncover short paths in power law networks.

[BibT_eX]

[DOI]

Prithwish Basu

Proceedings of the 2012 Proceedings IEEE INFOCOM Workshops, 2012

On the estimation accuracy of degree distributions from graph sampling.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Characterizing Random Walks on Dynamic Graphs

[BibT_eX]

[DOI]

Daniel R. Figueiredo

CoRR, 2011

Characterizing continuous-time random walks on dynamic networks.

[BibT_eX]

[DOI]

Daniel R. Figueiredo

Proceedings of the SIGMETRICS 2011, 2011

2010

Measurement and gender-specific analysis of user publishing characteristics on MySpace.

[BibT_eX]

[DOI]

IEEE Netw., 2010

Improving Random Walk Estimation Accuracy with Uniform Restarts.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Models for the Web-Graph - 7th International Workshop, 2010

Estimating and sampling graphs with multidimensional random walks.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM SIGCOMM Internet Measurement Conference, 2010

2008

Analyzing Privacy in Enterprise Packet Trace Anonymization.

[BibT_eX]

[DOI]

Proceedings of the Network and Distributed System Security Symposium, 2008

A resource-minimalist flow size histogram estimator.

[BibT_eX]

[DOI]

Tao Ye

Proceedings of the 8th ACM SIGCOMM Internet Measurement Conference, 2008

2006

Fisher information of sampled packets: an application to flow size estimation.

[BibT_eX]

[DOI]

Proceedings of the 6th ACM SIGCOMM Internet Measurement Conference, 2006

2005

Exploiting the IPID Field to Infer Network Path and End-System Characteristics.

[BibT_eX]

[DOI]

James F. Kurose