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Farimah Poursafaei
Farimah Poursafaei
Mila, Quebec AI Institute & McGill University
Verified email at mila.quebec
Title
Cited by
Cited by
Year
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
452022
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
392020
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
242024
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
212021
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
182015
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
152017
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
92017
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
52018
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
32018
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
22023
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
22022
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
12023
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
12022
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
12022
Anomaly detection in cryptocurrency networks and beyond
FR Poursafaei
McGill University (Canada), 2022
12022
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
12022
Temporal Graph Analysis with TGX
R Shirzadkhani, S Huang, E Kooshafar, R Rabbany, F Poursafaei
arXiv preprint arXiv:2402.03651, 2024
2024
Exhaustive Evaluation of Dynamic Link Prediction
F Poursafaei, R Rabbany
2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1121-1130, 2023
2023
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
2023
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