Detecting Malicious Ethereum Entities via Application of Machine Learning Classification. - Farimah Poursafaei; Ghaith Bany Hamad; Zeljko Zilic (BRAINS, 2020)

SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks. - Farimah Poursafaei; Reihaneh Rabbany; Zeljko Zilic (PAKDD (1), 2021)

Active Keyword Selection to Track Evolving Topics on Twitter. - Sacha Lévy; Farimah Poursafaei; Kellin Pelrine; Reihaneh Rabbany (ICDM (Workshops), 2022)

Towards Better Evaluation for Dynamic Link Prediction. - Farimah Poursafaei; Shenyang Huang; Kellin Pelrine; Reihaneh Rabbany (NeurIPS, 2022)

A Strong Node Classification Baseline for Temporal Graphs. - Farimah Poursafaei; Zeljko Zilic; Reihaneh Rabbany (SDM, 2022)

Towards Improved Illicit Node Detection with Positive-Unlabelled Learning. - Junliang Luo; Farimah Poursafaei; Xue Liu 001 (ICBC, 2023)

Exhaustive Evaluation of Dynamic Link Prediction. - Farimah Poursafaei; Reihaneh Rabbany (ICDM (Workshops), 2023)

Temporal Graph Benchmark for Machine Learning on Temporal Graphs. - Shenyang Huang; Farimah Poursafaei; Jacob Danovitch; Matthias Fey; Weihua Hu; Emanuele Rossi; Jure Leskovec; Michael M. Bronstein; Guillaume Rabusseau; Reihaneh Rabbany (NeurIPS, 2023)

Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations. - Lekang Jiang; Caiqi Zhang; Farimah Poursafaei; Shenyang Huang (CoRR, 2023)

GraphPulse: Topological representations for temporal graph property prediction. - Kiarash Shamsi; Farimah Poursafaei; Shenyang Huang; Tran Gia Bao Ngo; Baris Coskunuzer; Cuneyt Gurcan Akcora (ICLR, 2024)

UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs. - Shenyang Huang; Farimah Poursafaei; Reihaneh Rabbany; Guillaume Rabusseau; Emanuele Rossi (LoG, 2024)

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. - Julia Gastinger; Shenyang Huang; Michael Galkin; Erfan Loghmani; Ali Parviz; Farimah Poursafaei; Jacob Danovitch; Emanuele Rossi; Ioannis Koutis; Heiner Stuckenschmidt; Reihaneh Rabbany; Guillaume Rabusseau (NeurIPS, 2024)

On the Scalability of GNNs for Molecular Graphs. - Maciej Sypetkowski; Frederik Wenkel; Farimah Poursafaei; Nia Dickson; Karush Suri; Philip Fradkin; Dominique Beaini (NeurIPS, 2024)

Temporal Graph Analysis with TGX. - Razieh Shirzadkhani; Shenyang Huang; Elahe Kooshafar; Reihaneh Rabbany; Farimah Poursafaei (WSDM, 2024)

Temporal Graph Rewiring with Expander Graphs. - Katarina Petrovic; Shenyang Huang; Farimah Poursafaei; Petar Velickovic (CoRR, 2024)

Towards Neural Scaling Laws for Foundation Models on Temporal Graphs. - Razieh Shirzadkhani; Tran Gia Bao Ngo; Kiarash Shamsi; Shenyang Huang; Farimah Poursafaei; Poupak Azad; Reihaneh Rabbany; Baris Coskunuzer; Guillaume Rabusseau; Cuneyt Gurcan Akcora (CoRR, 2024)