| Towards better evaluation for dynamic link prediction F Poursafaei, S Huang, K Pelrine, R Rabbany Advances in Neural Information Processing Systems 35, 32928-32941, 2022 | 67 | 2022 |
| Temporal graph benchmark for machine learning on temporal graphs S Huang, F Poursafaei, J Danovitch, M Fey, W Hu, E Rossi, J Leskovec, ... Advances in Neural Information Processing Systems 36, 2024 | 44 | 2024 |
| Detecting malicious Ethereum entities via application of machine learning classification F Poursafaei, GB Hamad, Z Zilic 2020 2nd conference on blockchain research & applications for innovative …, 2020 | 42 | 2020 |
| SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks F Poursafaei, R Rabbany, Z Zilic Pacific-Asia Conference on Knowledge Discovery and Data Mining, 27-39, 2021 | 22 | 2021 |
| Offline replication and online energy management for hard real-time multicore systems FR Poursafaei, S Safari, M Ansari, M Salehi, A Ejlali 2015 CSI Symposium on Real-Time and Embedded Systems and Technologies (RTEST …, 2015 | 18 | 2015 |
| AdDQ: Low-energy hardware replication for real-time systems through adaptive dual queue scheduling M Ansari, S Safari, FR Poursafaei, M Salehi, A Ejlali The CSI Journal on Computer Science and Engineering (JCSE) 15 (1), 31-38, 2017 | 16 | 2017 |
| NPAM: NVM-aware page allocation for multi-core embedded systems FR Poursafaei, M Bazzaz, A Ejlali IEEE Transactions on Computers 66 (10), 1703-1716, 2017 | 9 | 2017 |
| High-performance predictable NVM-based instruction memory for real-time embedded systems M Bazzaz, A Hoseinghorban, F Poursafaei, A Ejlali IEEE Transactions on Emerging Topics in Computing 9 (1), 441-455, 2018 | 5 | 2018 |
| Towards temporal edge regression: A case study on agriculture trade between nations L Jiang, C Zhang, F Poursafaei, S Huang arXiv preprint arXiv:2308.07883, 2023 | 4 | 2023 |
| Slack clustering for scheduling frame-based tasks on multicore embedded systems F Poursafaei, M Bazzaz, MM Kafshdooz, A Ejlali Microelectronics Journal 81, 144-153, 2018 | 3 | 2018 |
| Towards Improved Illicit Node Detection with Positive-Unlabelled Learning J Luo, F Poursafaei, X Liu 2023 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-5, 2023 | 2 | 2023 |
| On Anomaly Detection in Graphs as Node Classification F Poursafaei, Z Zilic, R Rabbany International Conference on Big Data Engineering and Technology, 10-20, 2022 | 2 | 2022 |
| A Strong Node Classification Baseline for Temporal Graphs F Poursafaei, Z Zilic, R Rabbany Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 2 | 2022 |
| On the Scalability of GNNs for Molecular Graphs M Sypetkowski, F Wenkel, F Poursafaei, N Dickson, K Suri, P Fradkin, ... arXiv preprint arXiv:2404.11568, 2024 | 1 | 2024 |
| GraphPulse: Topological representations for temporal graph property prediction K Shamsi, F Poursafaei, S Huang, BTG Ngo, B Coskunuzer, CG Akcora The Twelfth International Conference on Learning Representations, 2024 | 1 | 2024 |
| Active Keyword Selection to Track Evolving Topics on Twitter S Lévy, F Poursafaei, K Pelrine, R Rabbany 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 507-516, 2022 | 1 | 2022 |
| Energy-and Reliability-Aware Task Replication in Safety-Critical Embedded Systems F Poursafaei, S Safari, M Ansari, A Yeganeh-Khaksar, M Salehi, A Ejlali 2022 CPSSI 4th International Symposium on Real-Time and Embedded Systems and …, 2022 | 1 | 2022 |
| Anomaly detection in cryptocurrency networks and beyond FR Poursafaei McGill University (Canada), 2022 | 1 | 2022 |
| Towards Neural Scaling Laws for Foundation Models on Temporal Graphs R Shirzadkhani, TGB Ngo, K Shamsi, S Huang, F Poursafaei, P Azad, ... arXiv preprint arXiv:2406.10426, 2024 | | 2024 |
| TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs J Gastinger, S Huang, M Galkin, E Loghmani, A Parviz, F Poursafaei, ... arXiv preprint arXiv:2406.09639, 2024 | | 2024 |
Reihaneh RabbanyAssistant Professor of Computer Science, McGill University; Canada CIFAR AI Chair, Mila在 cs.mcgill.ca 的电子邮件经过验证
