I am a Postdoctoral Fellow at Mila, Québec AI Institute & School of Computer Science (SoCS) at McGill University. I received my PhD from the Department of Electrical and Computer Engineering (ECE) at McGill University in 2022, under the supervison of Prof. Zeljko Zilic and Prof. Reihaneh Rabbany.

Currently, I am working on dynamic graph representation learning, graph neural networks, and generally graph machine learning. My background also includes anomaly detection, network analysis, and data mining applied in real-world networks including cryptocurrency transaction networks. In a previous life, I was doing research on the operating systems and compilers for real-time embedded systems.

News!

• Aug. 2023: The pre-print of our work Temporal Graph Benchmark for Machine Learning on Temporal Graphs is now available! Check out the , , , , and . Thanks to all amazing collaborators from Mila, McGill, Kumo.AI, Imperial College London, University of Montreal, Stanford, and Oxford.
• Feb. 2023 - Present: If you are interested to learn more about dynamic graph representation learning, consider joining our reading group!
  • Temporal Graph Learning (TGL) Reading Group
• Dec. 2022: Temporal Graph Learning (TGL) Workshop was hosted at NeurIPS 2022.
  • Accepted papers can be found at TGL workshop website.
  • Talks recording and presentations can be found at NeurIPS virtual website.

Publications

• Poursafaei, Farimah*, Shenyang Huang*, Kellin Pelrine, and Reihaneh Rabbany. "Towards Better Evaluation for Dynamic Link Prediction." In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, Dec. 2022.
  

• Poursafaei, Farimah, Zeljko Zilic, and Reihaneh Rabbany. "A Strong Node Classification Baseline for Temporal Graphs." In Proceedings of the 2022 SIAM International Conference on Data Mining (SDM), pp. 648-656. Society for Industrial and Applied Mathematics, 2022.
  

• Poursafaei, Farimah, Zeljko Zilic, and Reihaneh Rabbany. "On Anomaly Detection in Graphs as Node Classification." In Proceedings of the Big Data Engineering and Technology, 2022.
  

• Poursafaei, Farimah, Reihaneh Rabbany, and Zeljko Zilic. "SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks." In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 27-39. Springer, Cham, 2021.
  

• Poursafaei, Farimah, Ghaith Bany Hamad, and Zeljko Zilic. "Detecting Malicious Ethereum Entities via Application of Machine Learning Classification." In 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), pp. 120-127. IEEE, 2020.
  

• Poursafaei, Farimah, Sepideh Safari, Mohsen Ansari, Amir Yeganeh-Khaksar, Mohammad Salehi, and Alireza Ejlali. "Energy-and Reliability-Aware Task Replication in Safety-Critical Embedded Systems." In Proceedings of the 4th International of CSI Symposium on Real-Time and Embedded Systems and Technologies (RTEST), 2022.
  

• Poursafaei, Farimah, Mostafa Bazzaz, Morteza Mohajjel Kafshdooz, and Alireza Ejlali. "Slack Clustering for Scheduling Frame-Based Tasks on Multicore Embedded Systems." Microelectronics Journal 81 (2018): 144-153.
  

• Lévy, Sacha, Farimah Poursafaei, Kellin Pelrine, and Reihaneh Rabbany. "Active Keyword Selection to Track Evolving Topics on Twitter." Accepted in Utility-Driven Mining and Learning (UDML) at ICDM 2022. arXiv preprint arXiv:2209.11135.
  

• Bazzaz, Mostafa, Ali Hoseinghorban, Farimah Poursafaei, and Alireza Ejlali. "High-Performance Predictable NVM-Based Instruction Memory for Real-Time Embedded Systems." IEEE Transactions on Emerging Topics in Computing, 2018: 441-455.
  

• Poursafaei, Farimah R., Mostafa Bazzaz, and Alireza Ejlali. "NPAM: NVM-Aware Page Allocation for Multi-Core Embedded Systems." IEEE Transactions on Computers, 2017: 1703-1716.
  

• Ansari, Mohsen, Sepideh Safari, Farimah R. Poursafaei, Mohammad Salehi, and Alireza Ejlali. "AdDQ: Low-Energy Hardware Replication for Real-Time Systems through Adaptive Dual Queue Scheduling." The CSI Journal on Computer Science and Engineering (JCSE), 2017: 31-38.
  

• Poursafaei, Farimah, Sepideh Safari, Mohsen Ansari, Mohammad Salehi, and Alireza Ejlali. "Offline Replication and Online Energy Management for Hard Real-Time Multicore Systems." In 2015 CSI Symposium on Real-Time and Embedded Systems and Technologies (RTEST), IEEE, 2015.