Arlei Silva

Arlei Silva's headshot

I'm an Assistant Professor of Computer Science at Rice University.

My research focuses on developing algorithms and models for mining and learning from complex datasets, broadly defined as data science, especially for data represented as graphs/networks.

I'm particularly interested in problems motivated by computational social science, infrastructure, and healthcare. The tools that I apply to address these problems include machine learning, network science, graph theory, linear algebra, optimization, and statistics.

I got a Ph.D in Computer Science from the University of California, Santa Barbara, advised by Ambuj Singh, where I was also a postdoctoral scholar. Before that, I got a B.Sc and M.Sc degrees in Computer Science from Universidade Federal de Minas Gerais, in Brazil, advised by Wagner Meira Jr. I've also been a visiting scholar at the Rensselaer Polytechnic Institute, hosted by Mohammed J. Zaki.

My name is pronounced approximately as ARE-LAY.
Pronouns: he/him/his.

E-mail: arlei@rice.edu

Teaching:

Graduate Seminar on Machine Learning (Fall)
Machine Learning with Graphs (Spring)

Recent publications:

FlowGEN: A Generative Model for Flow Graphs
Furkan Kocayusufoglu, Arlei Silva, Ambuj Singh
To appear at the ACM International Conference on Knowledge Discovery and Data Mining (KDD), 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.

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.