Farimah Poursafaei
Farimah Poursafaei
Mila, Quebec AI Institute & McGill University
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Cited by
Cited by
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
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
Detecting malicious Ethereum entities via application of machine learning classification
F Poursafaei, GB Hamad, Z Zilic
2020 2nd conference on blockchain research & applications for innovativeá…, 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
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 (RTESTá…, 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
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
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
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
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
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
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
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, 2023
Active Keyword Selection to Track Evolving Topics on Twitter
S LÚvy, F Poursafaei, K Pelrine, R Rabbany
2022 IEEE International Conference on Data Mining Workshops (ICDMW), 507-516, 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 andá…, 2022
Anomaly detection in cryptocurrency networks and beyond
FR Poursafaei
McGill University (Canada), 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 (SDMá…, 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
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
Temporal Graph Rewiring with Expander Graphs
K Petrović, S Huang, F Poursafaei, P Veličković
arXiv preprint arXiv:2406.02362, 2024
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