Farimah Poursafaei

According to our database, Farimah Poursafaei authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs.

Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau

CoRR, 2024

Temporal Graph Rewiring with Expander Graphs.

Katarina Petrovic, Shenyang Huang, Farimah Poursafaei, Petar Velickovic

CoRR, 2024

On the Scalability of GNNs for Molecular Graphs.

Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini

CoRR, 2024

Temporal Graph Analysis with TGX.

Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

GraphPulse: Topological representations for temporal graph property prediction.

Kiarash Shamsi, Farimah Poursafaei, Shenyang Huang, Tran Gia Bao Ngo, Baris Coskunuzer, Cuneyt Gurcan Akcora

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations.

Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang

CoRR, 2023

Towards Improved Illicit Node Detection with Positive-Unlabelled Learning.

Junliang Luo, Farimah Poursafaei, Xue Liu

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exhaustive Evaluation of Dynamic Link Prediction.

Farimah Poursafaei, Reihaneh Rabbany

Proceedings of the IEEE International Conference on Data Mining, 2023

Towards Improved Illicit Node Detection with Positive-Unlabelled Learning.

Junliang Luo, Farimah Poursafaei, Xue Liu

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

2022

A Strong Node Classification Baseline for Temporal Graphs.

Farimah Poursafaei, Zeljko Zilic, Reihaneh Rabbany

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Towards Better Evaluation for Dynamic Link Prediction.

Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Keyword Selection to Track Evolving Topics on Twitter.

Sacha Lévy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks.

Farimah Poursafaei, Reihaneh Rabbany, Zeljko Zilic

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Detecting Malicious Ethereum Entities via Application of Machine Learning Classification.

Farimah Poursafaei, Ghaith Bany Hamad, Zeljko Zilic

Proceedings of the 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services, 2020