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ORCIDFarimah Poursafaei
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2020 – today
- 2024
[c10]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- [c9]Razieh Shirzadkhani
, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei:
Temporal Graph Analysis with TGX. WSDM 2024: 1086-1089 - [i11]Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei:
Temporal Graph Analysis with TGX. CoRR abs/2402.03651 (2024) - [i10]Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini:
On the Scalability of GNNs for Molecular Graphs. CoRR abs/2404.11568 (2024) - [i9]Katarina Petrovic, Shenyang Huang, Farimah Poursafaei, Petar Velickovic:
Temporal Graph Rewiring with Expander Graphs. CoRR abs/2406.02362 (2024) - [i8]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 abs/2406.09639 (2024) - [i7]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 abs/2406.10426 (2024) - [i6]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 abs/2407.12269 (2024) - 2023
- [c8]Junliang Luo, Farimah Poursafaei, Xue Liu:
Towards Improved Illicit Node Detection with Positive-Unlabelled Learning. ICBC 2023: 1-5 - [c7]Farimah Poursafaei, Reihaneh Rabbany:
Exhaustive Evaluation of Dynamic Link Prediction. ICDM (Workshops) 2023: 1121-1130 - [c6]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 - [i5]Junliang Luo, Farimah Poursafaei, Xue Liu:
Towards Improved Illicit Node Detection with Positive-Unlabelled Learning. CoRR abs/2303.02462 (2023) - [i4]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 abs/2307.01026 (2023) - [i3]Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang:
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations. CoRR abs/2308.07883 (2023) - 2022
- [c5]Sacha Lévy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany:
Active Keyword Selection to Track Evolving Topics on Twitter. ICDM (Workshops) 2022: 507-516 - [c4]Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany:
Towards Better Evaluation for Dynamic Link Prediction. NeurIPS 2022 - [c3]Farimah Poursafaei, Zeljko Zilic, Reihaneh Rabbany:
A Strong Node Classification Baseline for Temporal Graphs. SDM 2022: 648-656 - [i2]Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany:
Towards Better Evaluation for Dynamic Link Prediction. CoRR abs/2207.10128 (2022) - [i1]Sacha Lévy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany:
Active Keyword Selection to Track Evolving Topics on Twitter. CoRR abs/2209.11135 (2022) - 2021
- [c2]Farimah Poursafaei, Reihaneh Rabbany, Zeljko Zilic:
SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks. PAKDD (1) 2021: 27-39 - 2020
- [c1]Farimah Poursafaei, Ghaith Bany Hamad, Zeljko Zilic:
Detecting Malicious Ethereum Entities via Application of Machine Learning Classification. BRAINS 2020: 120-127
Coauthor Index
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