Publications
Pluvial Flood Emulation with Hydraulics-informed Message Passing
Arnold Kazadi, James Doss-Gollin, Arlei Silva
International Conference on Machine Learning (ICML), 2024.
FloodGNN-GRU: A Spatio-Temporal Graph Neural Network for Flood Prediction
Arnold Kazadi, James Doss-Gollin, Antonia Sebastian, Arlei Silva
Environmental Data Science (EDS), 2024.
Rearchitecting Datacenter Networks: A New Paradigm with Optical Core and Optical Edge
Sushovan Das, Arlei Silva, T. S. Eugene Ng
IEEE International Conference on Computer Communications (INFOCOM), 2024.
Near Non-blocking Performance with All-optical Circuit-switched Core
Sushovan Das, Arlei Silva, T. S. Eugene Ng
ACM SIGCOMM Conference (Poster) (SIGCOMM), 2023.
Representation-based Individual Fairness in Clustering (Extended Abstract)
Debajyoti Kar, Mert Kosan, Debmalya Mandal, Sourav Medya, Arlei Silva, Palash Dey, Swagato Sanyal
International Conference on Autonomous Agents and Multiagent System (AAMAS), 2023.
Graph Macro Dynamics with Self-Attention for Event Detection
Mert Kosan, Arlei Silva, Sourav Medya, Brian Uzzi and Ambuj Singh
AAAI Workshop on Deep Learning on Graphs: Method and Applications (DLG-AAAI), 2023.
Flood Prediction with Graph Neural Networks
Arnold Kazadi, James Doss-Gollin, Antonia Sebastian, Arlei Silva
NeurIPS Workshop on Tackling Climate Change with Machine Learning (NeurIPS-CCAI), 2022.
FlowGEN: A Generative Model for Flow Graphs
Furkan Kocayusufoglu, Arlei Silva, Ambuj Singh
ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2022.
History as a data science: Missing data imputation on the the slave voyages dataset
Phillip Tran, Arlei Silva
ACM International Conference on Knowledge Discovery and Data Mining - Undergraduate Consortium (KDD-UC), 2022.
POLE: Polarized Embedding for Signed Networks
Zexi Huang, Arlei Silva, Ambuj Singh
ACM International Conference on Web Search and Data Mining (WSDM), 2022.
A Broader Picture of Random-walk Based Graph Embedding
Zexi Huang, Arlei Silva, Ambuj Singh
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021.
Combining Physics and Machine Learning for Network Flow Estimation
Arlei Silva, Furkan Kocayusufoglu, Saber Jafarpour, Francesco Bullo, Ananthram Swami, Ambuj Singh
International Conference on Learning Representations (ICLR), 2021.
Network Robustness via K-core
Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021.
Group Testing on a Network
Arlei Silva, Ambuj Singh
AAAI Conference on Artificial Intelligence (AAAI), 2021.
[Slides] [Supplementary Material] [Code] [Video]
Approximate Algorithms for Data-driven Influence Limitation
Sourav Medya, Arlei Silva, Ambuj Singh
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
A Game Theoretic Approach For Core Resilience
Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj Singh
International Joint Conference on Artificial Intelligence (IJCAI), 2020.
A Game Theoretic Approach For k-Core Minimization (Extended Abstract)
Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj Singh
International Conference on Autonomous Agents and Multiagent System (AAMAS), 2020.
Spectral Algorithms for Temporal Graph Cuts
Arlei Silva, Ambuj Singh, Ananthram Swami
The Web Conference (WWW), 2018.
Group Centrality Maximization via Network Design
Sourav Medya, Arlei Silva, Ambuj Singh, Prithwish Basu, Ananthram Swami
SIAM International Conference on Data Mining (SDM), 2018.
Privacy-Preserving Multi-party Clustering: An Empirical Study
Arlei Silva, Gowtham Bellala
IEEE International Conference on Cloud Computing (CLOUD), 2017.
[Slides]
Outlier Detection from Network Data with Subnetwork Interpretation
Xuan-Hong Dang, Arlei Silva, Prithwish Basu, Ambuj K Singh, Ananthram Swami
IEEE International Conference on Data Mining (ICDM), 2016.
Graph Wavelets via Sparse Cuts
Arlei Silva, Xuan-Hong Dang, Prithwish Basu, Ambuj K Singh, Ananthram Swami
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
[Slides] [Code][Video]
Hierarchical In-Network Attribute Compression via Importance Sampling
Arlei Silva, Petko Bogdanov, Ambuj K. Singh
IEEE International Conference on Data Engineering (ICDE), 2015.
[Slides] [Code]
ProfileRank: finding relevant content and influential users based on information diffusion
Arlei Silva, Sara Guimarães, Wagner Meira Jr, Mohammed Zaki
Proceedings of the Workshop on Social Network Mining and Analysis (SNAKDD), 2013.
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs
Arlei Silva, Wagner Meira Jr., Mohammed J. Zaki
Proceedings of the VLDB Endowment (PVLDB), 2012.
[Slides] [Code]
Watch me Playing, I am a Professional: a First Study on Video Game Live Streaming
Mehdi Kaytoue, Arlei Silva, Loïc Cerf, Wagner Meira Jr, Chedy Raïssi
Proceedings of the Workshop on Mining Social Networks Dynamics (MSDN), 2012.
Min-hash fingerprints for graph kernels: A trade-off among accuracy, efficiency, and compression
Carlos HC Teixeira, Arlei Silva, Wagner Meira Jr
Journal of Information and Data Management (JIDM), 2012.
Structural correlation pattern mining for large graphs
Arlei Silva, Wagner Meira Jr, Mohammed J Zaki
Proceedings of the Eighth Workshop on Mining and Learning with Graphs (MLG), 2010.
Arnold Kazadi, James Doss-Gollin, Arlei Silva
International Conference on Machine Learning (ICML), 2024.
FloodGNN-GRU: A Spatio-Temporal Graph Neural Network for Flood Prediction
Arnold Kazadi, James Doss-Gollin, Antonia Sebastian, Arlei Silva
Environmental Data Science (EDS), 2024.
Rearchitecting Datacenter Networks: A New Paradigm with Optical Core and Optical Edge
Sushovan Das, Arlei Silva, T. S. Eugene Ng
IEEE International Conference on Computer Communications (INFOCOM), 2024.
Near Non-blocking Performance with All-optical Circuit-switched Core
Sushovan Das, Arlei Silva, T. S. Eugene Ng
ACM SIGCOMM Conference (Poster) (SIGCOMM), 2023.
Representation-based Individual Fairness in Clustering (Extended Abstract)
Debajyoti Kar, Mert Kosan, Debmalya Mandal, Sourav Medya, Arlei Silva, Palash Dey, Swagato Sanyal
International Conference on Autonomous Agents and Multiagent System (AAMAS), 2023.
Graph Macro Dynamics with Self-Attention for Event Detection
Mert Kosan, Arlei Silva, Sourav Medya, Brian Uzzi and Ambuj Singh
AAAI Workshop on Deep Learning on Graphs: Method and Applications (DLG-AAAI), 2023.
Flood Prediction with Graph Neural Networks
Arnold Kazadi, James Doss-Gollin, Antonia Sebastian, Arlei Silva
NeurIPS Workshop on Tackling Climate Change with Machine Learning (NeurIPS-CCAI), 2022.
FlowGEN: A Generative Model for Flow Graphs
Furkan Kocayusufoglu, Arlei Silva, Ambuj Singh
ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2022.
History as a data science: Missing data imputation on the the slave voyages dataset
Phillip Tran, Arlei Silva
ACM International Conference on Knowledge Discovery and Data Mining - Undergraduate Consortium (KDD-UC), 2022.
POLE: Polarized Embedding for Signed Networks
Zexi Huang, Arlei Silva, Ambuj Singh
ACM International Conference on Web Search and Data Mining (WSDM), 2022.
A Broader Picture of Random-walk Based Graph Embedding
Zexi Huang, Arlei Silva, Ambuj Singh
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021.
Combining Physics and Machine Learning for Network Flow Estimation
Arlei Silva, Furkan Kocayusufoglu, Saber Jafarpour, Francesco Bullo, Ananthram Swami, Ambuj Singh
International Conference on Learning Representations (ICLR), 2021.
Network Robustness via K-core
Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021.
Group Testing on a Network
Arlei Silva, Ambuj Singh
AAAI Conference on Artificial Intelligence (AAAI), 2021.
[Slides] [Supplementary Material] [Code] [Video]
Approximate Algorithms for Data-driven Influence Limitation
Sourav Medya, Arlei Silva, Ambuj Singh
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
A Game Theoretic Approach For Core Resilience
Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj Singh
International Joint Conference on Artificial Intelligence (IJCAI), 2020.
A Game Theoretic Approach For k-Core Minimization (Extended Abstract)
Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj Singh
International Conference on Autonomous Agents and Multiagent System (AAMAS), 2020.
Spectral Algorithms for Temporal Graph Cuts
Arlei Silva, Ambuj Singh, Ananthram Swami
The Web Conference (WWW), 2018.
Group Centrality Maximization via Network Design
Sourav Medya, Arlei Silva, Ambuj Singh, Prithwish Basu, Ananthram Swami
SIAM International Conference on Data Mining (SDM), 2018.
Privacy-Preserving Multi-party Clustering: An Empirical Study
Arlei Silva, Gowtham Bellala
IEEE International Conference on Cloud Computing (CLOUD), 2017.
[Slides]
Outlier Detection from Network Data with Subnetwork Interpretation
Xuan-Hong Dang, Arlei Silva, Prithwish Basu, Ambuj K Singh, Ananthram Swami
IEEE International Conference on Data Mining (ICDM), 2016.
Graph Wavelets via Sparse Cuts
Arlei Silva, Xuan-Hong Dang, Prithwish Basu, Ambuj K Singh, Ananthram Swami
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
[Slides] [Code][Video]
Hierarchical In-Network Attribute Compression via Importance Sampling
Arlei Silva, Petko Bogdanov, Ambuj K. Singh
IEEE International Conference on Data Engineering (ICDE), 2015.
[Slides] [Code]
ProfileRank: finding relevant content and influential users based on information diffusion
Arlei Silva, Sara Guimarães, Wagner Meira Jr, Mohammed Zaki
Proceedings of the Workshop on Social Network Mining and Analysis (SNAKDD), 2013.
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs
Arlei Silva, Wagner Meira Jr., Mohammed J. Zaki
Proceedings of the VLDB Endowment (PVLDB), 2012.
[Slides] [Code]
Watch me Playing, I am a Professional: a First Study on Video Game Live Streaming
Mehdi Kaytoue, Arlei Silva, Loïc Cerf, Wagner Meira Jr, Chedy Raïssi
Proceedings of the Workshop on Mining Social Networks Dynamics (MSDN), 2012.
Min-hash fingerprints for graph kernels: A trade-off among accuracy, efficiency, and compression
Carlos HC Teixeira, Arlei Silva, Wagner Meira Jr
Journal of Information and Data Management (JIDM), 2012.
Structural correlation pattern mining for large graphs
Arlei Silva, Wagner Meira Jr, Mohammed J Zaki
Proceedings of the Eighth Workshop on Mining and Learning with Graphs (MLG), 2010.