2025
Graph Anomaly Detection via Adaptive Test-time Representation Learning across Out-of-Distribution Domains.
CoRR, February, 2025
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
2024
Large-scale Collective Dynamics in the Three Iterations of the Reddit r/place Experiment.
CoRR, 2024
Sensor Placement for Learning in Flow Networks.
CoRR, 2024
Rearchitecting Datacenter Networks: A New Paradigm with Optical Core and Optical Edge.
Proceedings of the IEEE INFOCOM 2024, 2024
Pluvial Flood Emulation with Hydraulics-informed Message Passing.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs.
CoRR, 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization.
CoRR, 2023
Link Prediction without Graph Neural Networks.
CoRR, 2023
Poster: Near Non-blocking Performance with All-optical Circuit-switched Core.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023
USDOT Tier-1 University Transportation Center for Advancing Cybersecurity Research and Education.
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Proceedings of the IEEE International Conference on Mobility, 2023
Feature-based Individual Fairness in k-clustering.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Approximate Algorithms for Data-Driven Influence Limitation.
IEEE Trans. Knowl. Data Eng., 2022
POLE: Polarized Embedding for Signed Networks.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
FlowGEN: A Generative Model for Flow Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Event Detection on Dynamic Graphs.
CoRR, 2021
Feature-based Individual Fairness in k-Clustering.
CoRR, 2021
A Broader Picture of Random-walk Based Graph Embedding.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Combining Physics and Machine Learning for Network Flow Estimation.
Proceedings of the 9th International Conference on Learning Representations, 2021
Network Robustness via Global k-cores.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
Group Testing on a Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Graphs and Attributes used for the attribute-structure correlation pattern mining.
Dataset, March, 2020
A Game Theoretic Approach For Core Resilience.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
A Game Theoretic Approach For k-Core Minimization.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
Mining and Modeling Processes on Graphs.
PhD thesis, 2019
K-Core Minimization: A Game Theoretic Approach.
CoRR, 2019
Influence Minimization Under Budget and Matroid Constraints: Extended Version.
CoRR, 2019
2018
Spectral Algorithms for Temporal Graph Cuts.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Group Centrality Maximization via Network Design.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
2017
Maximizing Coverage Centrality via Network Design: Extended Version.
CoRR, 2017
Privacy-Preserving Multi-Party Clustering: An Empirical Study.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017
2016
Prediction-based Online Trajectory Compression.
CoRR, 2016
Graph Wavelets via Sparse Cuts.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Outlier Detection from Network Data with Subnetwork Interpretation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Hierarchical in-network attribute compression via importance sampling.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
2013
Uma Estratégia Baseada em Difusão de Informação para Determinação de Conteúdos Relevantes e Usuários Influentes em Redes Sociais.
RITA, 2013
ProfileRank: finding relevant content and influential users based on information diffusion.
Proceedings of the 7th Workshop on Social Network Mining and Analysis, 2013
2012
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs.
Proc. VLDB Endow., 2012
Min-Hash Fingerprints for Graph Kernels: A Trade-off among Accuracy, Efficiency, and Compression.
J. Inf. Data Manag., 2012
Watch me playing, i am a professional: a first study on video game live streaming.
Proceedings of the 21st World Wide Web Conference, 2012
2011
Modeling and evaluating credibility of web applications.
Proceedings of the 2011 Joint WICOW/AIRWeb Workshop on Web Quality, 2011
Credibility of web applications.
Proceedings of the MEDES '11: International ACM Conference on Management of Emergent Digital EcoSystems, 2011
2010
Análise de Padrões de Propagação no Twitter.
Proceedings of the XXV Simpósio Brasileiro de Banco de Dados, 2010
Structural correlation pattern mining for large graphs.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010
CredibilityRank: A Framework for the Design and Evaluation of Rank-based Credibility Models for Web Applications.
Proceedings of the IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing, 2010
2009
Seller's credibility in electronic markets: a complex network based approach.
Proceedings of the 3rd ACM Workshop on Information Credibility on the Web, 2009
Sequential Medical Treatment Mining for Survival Analysis.
Proceedings of the XXIV Simpósio Brasileiro de Banco de Dados, 2009
2008
Evaluating Longitudinal Aspects of Online Bidding Behavior.
Proceedings of the WEBIST 2008, 2008
A seller's perspective characterization methodology for online auctions.
Proceedings of the 10th International Conference on Electronic Commerce 2008, 2008