Farimah Poursafaei

27 papers A* 5A 2C 1Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning.
CoRR
Zifeng Ding, Shenyang Huang, Zeyu Cao, Emma Kondrup, Zachary Yang, Xingyue Huang, Yuan Sui, Zhangdie Yuan, Yuqicheng Zhu, Xianglong Hu, Yuan He, Farimah Poursafaei, Michael M. Bronstein, Andreas Vlachos
2025 J jnl
TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs.
CoRR
Jacob Chmura, Shenyang Huang, Tran Gia Bao Ngo, Ali Parviz, Farimah Poursafaei, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Matthias Fey, Reihaneh Rabbany
2025 — conf
Temporal Graph Learning Workshop.
KDD (2)
Shenyang Huang, Daniele Zambon, Andrea Cini, Farimah Poursafaei, Jacob Chmura, Julia Gastinger, Reihaneh Rabbany, Michael M. Bronstein
2024 A* conf
GraphPulse: Topological representations for temporal graph property prediction.
ICLR
Kiarash Shamsi, Farimah Poursafaei, Shenyang Huang, Tran Gia Bao Ngo, Baris Coskunuzer, Cuneyt Gurcan Akcora
2024 A* conf
On the Scalability of GNNs for Molecular Graphs.
NeurIPS
Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini
2024 J jnl
On the Scalability of GNNs for Molecular Graphs.
CoRR
Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini
2024 A* conf
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs.
NeurIPS
Julia Gastinger, Shenyang Huang, Michael Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
2024 J jnl
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs.
CoRR
Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
2024 A conf
Temporal Graph Analysis with TGX.
WSDM
Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei
2024 J jnl
Temporal Graph Analysis with TGX.
CoRR
Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei
2024 J jnl
Temporal Graph Rewiring with Expander Graphs.
CoRR
Katarina Petrovic, Shenyang Huang, Farimah Poursafaei, Petar Velickovic
2024 J jnl
Towards Neural Scaling Laws for Foundation Models on Temporal Graphs.
CoRR
Razieh Shirzadkhani, Tran Gia Bao Ngo, Kiarash Shamsi, Shenyang Huang, Farimah Poursafaei, Poupak Azad, Reihaneh Rabbany, Baris Coskunuzer, Guillaume Rabusseau, Cuneyt Gurcan Akcora
2024 — conf
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs.
LoG
Shenyang Huang, Farimah Poursafaei, Reihaneh Rabbany, Guillaume Rabusseau, Emanuele Rossi
2024 J jnl
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs.
CoRR
Shenyang Huang, Farimah Poursafaei, Reihaneh Rabbany, Guillaume Rabusseau, Emanuele Rossi
2023 — conf
Exhaustive Evaluation of Dynamic Link Prediction.
ICDM (Workshops)
Farimah Poursafaei, Reihaneh Rabbany
2023 A* conf
Temporal Graph Benchmark for Machine Learning on Temporal Graphs.
NeurIPS
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
2023 J jnl
Temporal Graph Benchmark for Machine Learning on Temporal Graphs.
CoRR
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
2023 C conf
Towards Improved Illicit Node Detection with Positive-Unlabelled Learning.
ICBC
Junliang Luo, Farimah Poursafaei, Xue Liu
2023 J jnl
Towards Improved Illicit Node Detection with Positive-Unlabelled Learning.
CoRR
Junliang Luo, Farimah Poursafaei, Xue Liu
2023 J jnl
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations.
CoRR
Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang
2022 A conf
A Strong Node Classification Baseline for Temporal Graphs.
SDM
Farimah Poursafaei, Zeljko Zilic, Reihaneh Rabbany
2022 — conf
Active Keyword Selection to Track Evolving Topics on Twitter.
ICDM (Workshops)
Sacha Lévy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany
2022 J jnl
Active Keyword Selection to Track Evolving Topics on Twitter.
CoRR
Sacha Lévy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany
2022 A* conf
Towards Better Evaluation for Dynamic Link Prediction.
NeurIPS
Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany
2022 J jnl
Towards Better Evaluation for Dynamic Link Prediction.
CoRR
Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany
2021 — conf
SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks.
PAKDD (1)
Farimah Poursafaei, Reihaneh Rabbany, Zeljko Zilic
2020 — conf
Detecting Malicious Ethereum Entities via Application of Machine Learning Classification.
BRAINS
Farimah Poursafaei, Ghaith Bany Hamad, Zeljko Zilic