Tina Eliassi-Rad

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 90

Top Venues

Publications

Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad
Complex network effects on the robustness of graph convolutional networks. Appl. Netw. Sci. 9 (1) (2024)
Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar
Distributed constrained combinatorial optimization leveraging hypergraph neural networks. Nat. Mac. Intell. 6 (6) (2024)
Zohair Shafi, Ayan Chatterjee, Tina Eliassi-Rad
Generating Human Understandable Explanations for Node Embeddings. CoRR (2024)
Geon Lee, Fanchen Bu, Tina Eliassi-Rad, Kijung Shin
A Survey on Hypergraph Mining: Patterns, Tools, and Generators. CoRR (2024)
Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Hvas Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann
Using sequences of life-events to predict human lives. Nat. Comput. Sci. 4 (1) (2024)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Attacking Shortest Paths by Cutting Edges. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander
Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings. CoRR (2024)
Guilherme Ferraz de Arruda, Wan He, Nasimeh Heydaribeni, Tara Javidi, Yamir Moreno, Tina Eliassi-Rad
Assigning Entities to Teams as a Hypergraph Discovery Problem. CoRR (2024)
William Shiao, Benjamin A. Miller, Kevin Chan, Paul L. Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis
TenGAN: adversarially generating multiplex tensor graphs. Data Min. Knowl. Discov. 38 (1) (2024)
Ayan Chatterjee, Robin Walters, Giulia Menichetti, Tina Eliassi-Rad
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction. CoRR (2023)
David Liu, Jackie Baek, Tina Eliassi-Rad
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations. CoRR (2023)
Dino Pedreschi, Luca Pappalardo, Ricardo Baeza-Yates, Albert-László Barabási, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, János Kertész, Alistair Knott, Yannis E. Ioannidis, Paul Lukowicz, Andrea Passarella, Alex 'Sandy' Pentland, John Shawe-Taylor, Alessandro Vespignani
Social AI and the Challenges of the Human-AI Ecosystem. CoRR (2023)
Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad
Using Overlapping Methods to Counter Adversaries in Community Detection. CoRR (2023)
Zohair Shafi, Benjamin A. Miller, Tina Eliassi-Rad, Rajmonda Sulo Caceres
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks. CoRR (2023)
Alesia Chernikova, Nicolò Gozzi, Nicola Perra, Simona Boboila, Tina Eliassi-Rad, Alina Oprea
Modeling self-propagating malware with epidemiological models. Appl. Netw. Sci. 8 (1) (2023)
Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang
Optimal Intervention on Weighted Networks via Edge Centrality. CoRR (2023)
Zohair Shafi, Benjamin A. Miller, Ayan Chatterjee, Tina Eliassi-Rad, Rajmonda Sulo Caceres
GRASP: Accelerating Shortest Path Attacks via Graph Attention. CoRR (2023)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Defense Against Shortest Path Attacks. CoRR (2023)
David Liu, Tina Eliassi-Rad
STABLE: Identifying and Mitigating Instability in Embeddings of the Degenerate Core. SDM (2023)
Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar
HypOp: Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks. CoRR (2023)
Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad
Complex Network Effects on the Robustness of Graph Convolutional Networks. CoRR (2023)
Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann
Using Sequences of Life-events to Predict Human Lives. CoRR (2023)
Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang
Optimal Intervention on Weighted Networks via Edge Centrality. SDM (2023)
Agapi Rissaki, Bruno Scarone, David Liu, Aditeya Pandey, Brennan Klein, Tina Eliassi-Rad, Michelle A. Borkin
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings. CoRR (2022)
Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Jack W. Davidson
CELEST: Federated Learning for Globally Coordinated Threat Detection. CoRR (2022)
Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
Cyber Network Resilience Against Self-Propagating Malware Attacks. ESORICS (1) (2022)
Xindi Wang, Onur Varol, Tina Eliassi-Rad
Information access equality on generative models of complex networks. Appl. Netw. Sci. 7 (1) (2022)
David Liu, Tina Eliassi-Rad
Identifying and Mitigating Instability in Embeddings of the Degenerate Core. CoRR (2022)
Sidney La Fontaine, Naveen Muralidhar, Michael Clifford, Tina Eliassi-Rad, Cristina Nita-Rotaru
Alternative Route-Based Attacks in Metropolitan Traffic Systems. DSN Workshops (2022)
Timothy LaRock, Mengqiao Xu, Tina Eliassi-Rad
A path-based approach to analyzing the global liner shipping network. EPJ Data Sci. 11 (1) (2022)
Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
Cyber Network Resilience against Self-Propagating Malware Attacks. CoRR (2022)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Attacking Shortest Paths by Cutting Edges. CoRR (2022)
Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
Sequential motifs in observed walks. J. Complex Networks 10 (5) (2022)
David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. AIES (2022)
Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
Modeling Self-Propagating Malware with Epidemiological Models. CoRR (2022)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Optimal Edge Weight Perturbations to Attack Shortest Paths. CoRR (2021)
Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad
The Why, How, and When of Representations for Complex Systems. SIAM Rev. 63 (3) (2021)
David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. AIES (2021)
Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad
Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. SIAM J. Math. Data Sci. 3 (2) (2021)
Ayan Chatterjee, Omair Shafi Ahmed, Robin Walters, Zohair Shafi, Deisy Morselli Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti
AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands. CoRR (2021)
Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CoRR (2021)
Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Alastair Nottingham, Jason Hiser, Jack W. Davidson
Collaborative Information Sharing for ML-Based Threat Detection. CoRR (2021)
David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. CoRR (2021)
Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik
POTION : Optimizing Graph Structure for Targeted Diffusion. SDM (2021)
Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CNS (2021)
Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes
Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352). Dagstuhl Reports 11 (7) (2021)
Timothy LaRock, Mengqiao Xu, Tina Eliassi-Rad
A Path-based Approach to Analyzing the Global Liner Shipping Network. CoRR (2021)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
PATHATTACK: Attacking Shortest Paths in Complex Networks. CoRR (2021)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
PATHATTACK: Attacking Shortest Paths in Complex Networks. ECML/PKDD (2) (2021)
Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
Sequential Motifs in Observed Walks. CoRR (2021)
Xindi Wang, Onur Varol, Tina Eliassi-Rad
Information Access Equality on Network Generative Models. CoRR (2021)
Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad
Selective network discovery via deep reinforcement learning on embedded spaces. Appl. Netw. Sci. 6 (1) (2021)
Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad
Understanding the limitations of network online learning. Appl. Netw. Sci. 5 (1) (2020)
Tina Eliassi-Rad, Nitesh V. Chawla, Vittoria Colizza, Lauren Gardner, Marcel Salathé, Samuel V. Scarpino, Joseph T. Wu
Fighting a Pandemic: Convergence of Expertise, Data Science and Policy. KDD (2020)
Ricky Laishram, Ahmet Erdem Sariyüce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan
-Core. SDM (2020)
Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad
Node Immunization with Non-backtracking Eigenvalues. CoRR (2020)
Sixie Yu, Leonardo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik
Optimizing Graph Structure for Targeted Diffusion. CoRR (2020)
Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad
The why, how, and when of representations for complex systems. CoRR (2020)
Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer
HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks. SDM (2020)
Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin S. Chan, Tina Eliassi-Rad
Topological Effects on Attacks Against Vertex Classification. CoRR (2020)
Lluis Garcia Pueyo, Anand Bhaskar, Panayiotis Tsaparas, Aristides Gionis, Tina Eliassi-Rad, Maria Daltayanni, Yu Sun, Panagiotis Papadimitriou
Integrity 2020: Integrity in Social Networks and Media. WSDM (2020)
Leo Torres, Kevin S. Chan, Tina Eliassi-Rad
GLEE: Geometric Laplacian Eigenmap Embedding. J. Complex Networks 8 (2) (2020)
Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad
Understanding the Limitations of Network Online Learning. CoRR (2020)
Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer
Detecting Path Anomalies in Time Series Data on Networks. CoRR (2019)
Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad
Deep Reinforcement Learning for Task-driven Discovery of Incomplete Networks. CoRR (2019)
Xindi Wang, Onur Varol, Tina Eliassi-Rad
L2P: An Algorithm for Estimating Heavy-tailed Outcomes. CoRR (2019)
Tina Eliassi-Rad
Length Spectrum Theory, Non-backtracking Cycles, and Two Graph Analysis Tasks. GRADES/NDA@SIGMOD/PODS (2019)
Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad
Deep Reinforcement Learning for Task-Driven Discovery of Incomplete Networks. COMPLEX NETWORKS (1) (2019)
Tina Eliassi-Rad, Rajmonda Sulo Caceres, Timothy LaRock
Incompleteness in Networks: Biases, Skewed Results, and Some Solutions. KDD (2019)
H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich
The Responsibility Challenge for Data. SIGMOD Conference (2019)
Leo Torres, Kevin S. Chan, Tina Eliassi-Rad
Geometric Laplacian Eigenmap Embedding. CoRR (2019)
Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad
Multilevel Network Alignment. WWW (2019)
Xindi Wang, Burcu Yucesoy, Onur Varol, Tina Eliassi-Rad, Albert-László Barabási
Success in books: predicting book sales before publication. EPJ Data Sci. 8 (1) (2019)
Leo Torres, Pablo Suárez-Serrato, Tina Eliassi-Rad
Non-backtracking cycles: length spectrum theory and graph mining applications. Appl. Netw. Sci. 4 (1) (2019)
Talha Ongun, Timothy Sakharaov, Simona Boboila, Alina Oprea, Tina Eliassi-Rad
On Designing Machine Learning Models for Malicious Network Traffic Classification. CoRR (2019)
Ricky Laishram, Ahmet Erdem Sariyüce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan
Measuring and Improving the Core Resilience of Networks. WWW (2018)
Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos
Patterns and anomalies in k-cores of real-world graphs with applications. Knowl. Inf. Syst. 54 (3) (2018)
Leo Torres, Pablo Suárez-Serrato, Tina Eliassi-Rad
Graph Distance from the Topological View of Non-backtracking Cycles. CoRR (2018)
Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
ε - WGX: Adaptive Edge Probing for Enhancing Incomplete Networks. WebSci (2017)
Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
GOTCHA! Network-Based Fraud Detection for Social Security Fraud. Manag. Sci. 63 (9) (2017)
Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
Node Immunization on Large Graphs: Theory and Algorithms. IEEE Trans. Knowl. Data Eng. 28 (1) (2016)
Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos
Eigen-Optimization on Large Graphs by Edge Manipulation. ACM Trans. Knowl. Discov. Data 10 (4) (2016)
Priya Govindan, Sucheta Soundarajan, Tina Eliassi-Rad, Christos Faloutsos
NimbleCore: A space-efficient external memory algorithm for estimating core numbers. ASONAM (2016)
Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy
Generating Graph Snapshots from Streaming Edge Data. WWW (Companion Volume) (2016)
Senjuti Basu Roy, Tina Eliassi-Rad, Spiros Papadimitriou
Fast best-effort search on graphs with multiple attributes. ICDE (2016)
Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
MaxReach: Reducing network incompleteness through node probes. ASONAM (2016)
David Lazer, Oren Tsur, Tina Eliassi-Rad
Understanding Offline Political Systems by Mining Online Political Data. WSDM (2016)
Sean Gilpin, Chia-Tung Kuo, Tina Eliassi-Rad, Ian Davidson
Some Advances in Role Discovery in Graphs. CoRR (2016)
Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash
Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. 18 (1) (2016)
Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos
CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms. ICDM (2016)
Senjuti Basu Roy, Tina Eliassi-Rad, Spiros Papadimitriou
Fast Best-Effort Search on Graphs with Multiple Attributes. IEEE Trans. Knowl. Data Eng. 27 (3) (2015)
Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks. ASONAM (2015)
Long T. Le, Tina Eliassi-Rad, Hanghang Tong
MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. SDM (2015)
Allison June-Barlow Chaney, David M. Blei, Tina Eliassi-Rad
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation. RecSys (2015)
Keith Henderson, Brian Gallagher, Tina Eliassi-Rad
EP-MEANS: an efficient nonparametric clustering of empirical probability distributions. SAC (2015)
Véronique Van Vlasselaer, Cristián Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions. Decis. Support Syst. 75 (2015)
Véronique Van Vlasselaer, Leman Akoglu, Tina Eliassi-Rad, Monique Snoeck, Bart Baesens
Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships. HICSS (2015)
Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks. CoRR (2015)
Spiros Papadimitriou, Tina Eliassi-Rad
Mining Mobility Data. WWW (Companion Volume) (2015)
Priya Govindan, Tina Eliassi-Rad, Jin Xu, Shawndra Hill, Chris Volinsky
Threatening Privacy across Social Graphs: A Structural Features Approach. ICDM Workshops (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tina Eliassi-Rad