Tina Eliassi-Rad

Orcid: 0000-0002-1892-1188

Affiliations:
  • Northeastern University, Boston, USA


According to our database1, Tina Eliassi-Rad authored at least 129 papers between 1999 and 2024.

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Bibliography

2024
Complex network effects on the robustness of graph convolutional networks.
Appl. Netw. Sci., December, 2024

Attacking Shortest Paths by Cutting Edges.
ACM Trans. Knowl. Discov. Data, February, 2024

TenGAN: adversarially generating multiplex tensor graphs.
Data Min. Knowl. Discov., January, 2024

Using sequences of life-events to predict human lives.
Nat. Comput. Sci., 2024

Assigning Entities to Teams as a Hypergraph Discovery Problem.
CoRR, 2024

A Survey on Hypergraph Mining: Patterns, Tools, and Generators.
CoRR, 2024

2023
Modeling self-propagating malware with epidemiological models.
Appl. Netw. Sci., December, 2023

HypOp: Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks.
CoRR, 2023

When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations.
CoRR, 2023

GRASP: Accelerating Shortest Path Attacks via Graph Attention.
CoRR, 2023

Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks.
CoRR, 2023

Using Overlapping Methods to Counter Adversaries in Community Detection.
CoRR, 2023

Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction.
CoRR, 2023

Social AI and the Challenges of the Human-AI Ecosystem.
CoRR, 2023

Defense Against Shortest Path Attacks.
CoRR, 2023

STABLE: Identifying and Mitigating Instability in Embeddings of the Degenerate Core.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Optimal Intervention on Weighted Networks via Edge Centrality.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022
A path-based approach to analyzing the global liner shipping network.
EPJ Data Sci., 2022

BiaScope: Visual Unfairness Diagnosis for Graph Embeddings.
CoRR, 2022

CELEST: Federated Learning for Globally Coordinated Threat Detection.
CoRR, 2022

Identifying and Mitigating Instability in Embeddings of the Degenerate Core.
CoRR, 2022

Sequential motifs in observed walks.
J. Complex Networks, 2022

Information access equality on generative models of complex networks.
Appl. Netw. Sci., 2022

Cyber Network Resilience Against Self-Propagating Malware Attacks.
Proceedings of the Computer Security - ESORICS 2022, 2022

Alternative Route-Based Attacks in Metropolitan Traffic Systems.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization.
SIAM J. Math. Data Sci., 2021

The Why, How, and When of Representations for Complex Systems.
SIAM Rev., 2021

Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352).
Dagstuhl Reports, 2021

AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands.
CoRR, 2021

Optimal Edge Weight Perturbations to Attack Shortest Paths.
CoRR, 2021

Information Access Equality on Network Generative Models.
CoRR, 2021

Collaborative Information Sharing for ML-Based Threat Detection.
CoRR, 2021

Selective network discovery via deep reinforcement learning on embedded spaces.
Appl. Netw. Sci., 2021

POTION : Optimizing Graph Structure for Targeted Diffusion.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

PATHATTACK: Attacking Shortest Paths in Complex Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection.
Proceedings of the IEEE Conference on Communications and Network Security, 2021

RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Optimizing Graph Structure for Targeted Diffusion.
CoRR, 2020

Topological Effects on Attacks Against Vertex Classification.
CoRR, 2020

Node Immunization with Non-backtracking Eigenvalues.
CoRR, 2020

GLEE: Geometric Laplacian Eigenmap Embedding.
J. Complex Networks, 2020

Understanding the limitations of network online learning.
Appl. Netw. Sci., 2020

Integrity 2020: Integrity in Social Networks and Media.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the <i>k</i>-Core.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Fighting a Pandemic: Convergence of Expertise, Data Science and Policy.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Success in books: predicting book sales before publication.
EPJ Data Sci., 2019

L2P: An Algorithm for Estimating Heavy-tailed Outcomes.
CoRR, 2019

On Designing Machine Learning Models for Malicious Network Traffic Classification.
CoRR, 2019

Detecting Path Anomalies in Time Series Data on Networks.
CoRR, 2019

Geometric Laplacian Eigenmap Embedding.
CoRR, 2019

Non-backtracking cycles: length spectrum theory and graph mining applications.
Appl. Netw. Sci., 2019

Multilevel Network Alignment.
Proceedings of the World Wide Web Conference, 2019

The Responsibility Challenge for Data.
Proceedings of the 2019 International Conference on Management of Data, 2019

Incompleteness in Networks: Biases, Skewed Results, and Some Solutions.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Length Spectrum Theory, Non-backtracking Cycles, and Two Graph Analysis Tasks.
Proceedings of the 2nd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2019

Deep Reinforcement Learning for Task-Driven Discovery of Incomplete Networks.
Proceedings of the Complex Networks and Their Applications VIII, 2019

2018
Social Order in Online Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Patterns and anomalies in k-cores of real-world graphs with applications.
Knowl. Inf. Syst., 2018

Graph Distance from the Topological View of Non-backtracking Cycles.
CoRR, 2018

Measuring and Improving the Core Resilience of Networks.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017
GOTCHA! Network-Based Fraud Detection for Social Security Fraud.
Manag. Sci., 2017

ε - WGX: Adaptive Edge Probing for Enhancing Incomplete Networks.
Proceedings of the 2017 ACM on Web Science Conference, 2017

2016
Node Immunization on Large Graphs: Theory and Algorithms.
IEEE Trans. Knowl. Data Eng., 2016

Eigen-Optimization on Large Graphs by Edge Manipulation.
ACM Trans. Knowl. Discov. Data, 2016

Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs.
SIGKDD Explor., 2016

Some Advances in Role Discovery in Graphs.
CoRR, 2016

Generating Graph Snapshots from Streaming Edge Data.
Proceedings of the 25th International Conference on World Wide Web, 2016

Understanding Offline Political Systems by Mining Online Political Data.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

MaxReach: Reducing network incompleteness through node probes.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

NimbleCore: A space-efficient external memory algorithm for estimating core numbers.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Fast Best-Effort Search on Graphs with Multiple Attributes.
IEEE Trans. Knowl. Data Eng., 2015

APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions.
Decis. Support Syst., 2015

MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks.
CoRR, 2015

Mining Mobility Data.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

EP-MEANS: an efficient nonparametric clustering of empirical probability distributions.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

A Probabilistic Model for Using Social Networks in Personalized Item Recommendation.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Social Order in Online Social Networks.
Encyclopedia of Social Network Analysis and Mining, 2014

A Guide to Selecting a Network Similarity Method.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Threatening Privacy across Social Graphs: A Structural Features Approach.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Entelecheia: Detecting P2P botnets in their waiting stage.
Proceedings of the IFIP Networking Conference, 2013, Brooklyn, 2013

Mining data from mobile devices: a survey of smart sensing and analytics.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Guided learning for role discovery (GLRD): framework, algorithms, and applications.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Hyperlocal: inferring location of IP addresses in real-time bid requests for mobile ads.
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, 2013

Network similarity via multiple social theories.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Correcting evaluation bias of relational classifiers with network cross validation.
Knowl. Inf. Syst., 2012

Gateway finder in large graphs: problem definitions and fast solutions.
Inf. Retr., 2012

NetSimile: A Scalable Approach to Size-Independent Network Similarity
CoRR, 2012

Measuring tie strength in implicit social networks.
Proceedings of the Web Science 2012, 2012

RolX: structural role extraction & mining in large graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Gelling, and melting, large graphs by edge manipulation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Massively parallel acceleration of a document-similarity classifier to detect web attacks.
J. Parallel Distributed Comput., 2011

Ranking Information in Networks.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

Correcting Bias in Statistical Tests for Network Classifier Evaluation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

It's who you know: graph mining using recursive structural features.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
HCDF: A Hybrid Community Discovery Framework.
Proceedings of the SIAM International Conference on Data Mining, 2010

Literature Search through Mixed-Membership Community Discovery.
Proceedings of the Advances in Social Computing, 2010

BASSET: Scalable Gateway Finder in Large Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Metric forensics: a multi-level approach for mining volatile graphs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Link Homophily in the Application Layer and its Usage in Traffic Classification.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

On the Vulnerability of Large Graphs.
Proceedings of the ICDM 2010, 2010

Detecting Novel Discrepancies in Communication Networks.
Proceedings of the ICDM 2010, 2010

Profiling-By-Association: a resilient traffic profiling solution for the internet backbone.
Proceedings of the 2010 ACM Conference on Emerging Networking Experiments and Technology, 2010

2009
Applying latent dirichlet allocation to group discovery in large graphs.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Evaluating Statistical Tests for Within-Network Classifiers of Relational Data.
Proceedings of the ICDM 2009, 2009

2008
Two heads better than one: pattern discovery in time-evolving multi-aspect data.
Data Min. Knowl. Discov., 2008

Collective Classification in Network Data.
AI Mag., 2008

Using ghost edges for classification in sparsely labeled networks.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study.
Proceedings of the Advances in Social Network Mining and Analysis, 2008

GRAPHITE: A Visual Query System for Large Graphs.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Fast mining of complex time-stamped events.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Finding Mixed-Memberships in Social Networks.
Proceedings of the Social Information Processing, 2008

2007
Fast best-effort pattern matching in large attributed graphs.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

An Examination of Experimental Methodology for Classifiers of Relational Data.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction.
IEEE Trans. Vis. Comput. Graph., 2006

A Position Paper: Value of Information for Evidence Detection.
Proceedings of the Capturing and Using Patterns for Evidence Detection, 2006

2005
A hybrid approach for multiresolution modeling of large-scale scientific data.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Knowledge Representation Issues in Semantic Graphs for Relationship Detection.
Proceedings of the AI Technologies for Homeland Security, 2005

2003
Intelligent Web Agents that Learn to Retrieve and Extract Information.
Proceedings of the Intelligent Exploration of the Web, 2003

A System for Building Intelligent Agents that Learn to Retrieve and Extract Information.
User Model. User Adapt. Interact., 2003

The Evolution of a Hierarchical Partitioning Algorithm for Large-Scale Scientific Data: Three Steps of Increasing Complexity.
Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM 2003), 2003

2002
Tina Eliassi-Rad, Terence Critchlow, Ghaleb Abdulla.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001
A Theory-Refinement Approach to Information Extraction.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

1999
An Instructable, Adaptive Interface for Discovering and Monitoring Information on the World-Wide Web.
Proceedings of the 4th International Conference on Intelligent User Interfaces, 1999


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