I am a first-year Ph.D. student at Cornell University. Before joining Cornell, I completed my M.Sc. in Computer Science at the University of British Columbia, where I had been very fortunate to be advised by Prof. Margo Seltzer. Before that, I received my B.Sc. in Computer Engineering with a minor in Mathematics at the Sharif University of Technology. My research interests generally lie in the areas of network science, graph representation learning, ML in healthcare, and computational neuroscience.
I am always open to collaboration!
Selected Publications
| Under Review 2024 | Graph Mamba: Towards Learning on Graphs with State Space Models.  Featured by Hugging Face Ali Behrouz, Farnoosh Hashemi   |
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| NeurIPS 2023 | CAT-Walk: Inductive Hypergraph Learning via Set Walks. Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer |
| ICML IMLH Workshop 2023 | ADMIRE++: Explainable Anomaly Detection in the Human Brain via Inductive Learning on Temporal Multiplex Networks. Best Paper Award Ali Behrouz, Margo Seltzer |
| CIKM 2022 | CS-MLGCN: Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks. Best Paper Honorable Mention Award Ali Behrouz, Farnoosh Hashemi |
| WWW 2022 | FirmCore Decomposition of Multilayer Networks. Selected For Oral Presentation Farnoosh Hashemi*, Ali Behrouz*, Laks V.S. Lakshmanan |
News
| Sep 2023 | Our paper "CAT-Walk: Inductive Hypergraph Learning via Set Walks" has been accepted to NeurIPS 2023. |
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| Sep 2023 | Our paper "Generalized Densest Subgraph in Multiplex Networks" has been accepted to the Conference on Complex Networks 2023. |
| Aug 2023 | I completed my M.Sc. with the thesis "Anomaly Detection in Multiplex Networks: from Human Brain Activity to Financial Networks". Next, I will start my Ph.D. at Cornell University. |
| July 2023 | Our paper "ADMIRE++: Explainable Anomaly Detection in the Human Brain via Inductive Learning on Temporal Multiplex Networks" won the best paper award in the ICML IMLH workshop. |
| June 2023 | Our paper "Anomaly Detection in the Human Brain via Inductive Learning on Temporal Multiplex Networks" has been accepted to the Machine Learning for Healthcare Conference, MLHC 2023. |
Service
Conference/Workshop Reviewer: ICML 2024, KDD 2024, IJCAI 2024, MICCAI 2024, ICLR 2024, NeurIPS 2023, NeurIPS TGL Workshop 2023, KDD 2022.
Journal Reviewer: TMLR 2023-2024.
Other: Mentor in Talaria Summer Institute.