Farimah Poursafaei

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Detecting Malicious

Spatio Temporal

Graph Classification

Link Prediction

Top Venues

ICDM (Workshops)

Publications

Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. CoRR (2024)
Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei
Temporal Graph Analysis with TGX. CoRR (2024)
Katarina Petrovic, Shenyang Huang, Farimah Poursafaei, Petar Velickovic
Temporal Graph Rewiring with Expander Graphs. CoRR (2024)
Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei
Temporal Graph Analysis with TGX. WSDM (2024)
Shenyang Huang, Farimah Poursafaei, Reihaneh Rabbany, Guillaume Rabusseau, Emanuele Rossi
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs. CoRR (2024)
Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini
On the Scalability of GNNs for Molecular Graphs. CoRR (2024)
Kiarash Shamsi, Farimah Poursafaei, Shenyang Huang, Tran Gia Bao Ngo, Baris Coskunuzer, Cuneyt Gurcan Akcora
GraphPulse: Topological representations for temporal graph property prediction. ICLR (2024)
Razieh Shirzadkhani, Tran Gia Bao Ngo, Kiarash Shamsi, Shenyang Huang, Farimah Poursafaei, Poupak Azad, Reihaneh Rabbany, Baris Coskunuzer, Guillaume Rabusseau, Cuneyt Gurcan Akcora
Towards Neural Scaling Laws for Foundation Models on Temporal Graphs. CoRR (2024)
Junliang Luo, Farimah Poursafaei, Xue Liu
Towards Improved Illicit Node Detection with Positive-Unlabelled Learning. ICBC (2023)
Farimah Poursafaei, Reihaneh Rabbany
Exhaustive Evaluation of Dynamic Link Prediction. ICDM (Workshops) (2023)
Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations. CoRR (2023)
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. CoRR (2023)
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. NeurIPS (2023)
Junliang Luo, Farimah Poursafaei, Xue Liu
Towards Improved Illicit Node Detection with Positive-Unlabelled Learning. CoRR (2023)
Sacha Lévy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany
Active Keyword Selection to Track Evolving Topics on Twitter. ICDM (Workshops) (2022)
Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany
Towards Better Evaluation for Dynamic Link Prediction. CoRR (2022)
Farimah Poursafaei, Zeljko Zilic, Reihaneh Rabbany
A Strong Node Classification Baseline for Temporal Graphs. SDM (2022)
Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany
Towards Better Evaluation for Dynamic Link Prediction. NeurIPS (2022)
Sacha Lévy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany
Active Keyword Selection to Track Evolving Topics on Twitter. CoRR (2022)
Farimah Poursafaei, Reihaneh Rabbany, Zeljko Zilic
SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks. PAKDD (1) (2021)
Farimah Poursafaei, Ghaith Bany Hamad, Zeljko Zilic
Detecting Malicious Ethereum Entities via Application of Machine Learning Classification. BRAINS (2020)