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Temporal Graph Learning Workshop
Reihaneh Rabbany · Jian Tang · Michael Bronstein · Shenyang Huang · Meng Qu · Kellin Pelrine · Jianan Zhao · Farimah Poursafaei · Aarash Feizi

Sat Dec 03 05:30 AM -- 03:00 PM (PST) @ Room 399
Event URL: https://sites.google.com/view/tglworkshop2022/home »

This workshop bridges the conversation among different areas such as temporal knowledge graph learning, graph anomaly detection, and graph representation learning. It aims to share understanding and techniques to facilitate the development of novel temporal graph learning methods. It also brings together researchers from both academia and industry and connects researchers from various fields aiming to span theories, methodologies, and applications.

Author Information

Reihaneh Rabbany (McGill, Mila)
Jian Tang (Mila)
Michael Bronstein (USI)
Shenyang Huang (McGill University, Mila)

I am a phd student at Mila and McGill University, supervised by Professor Reihaneh Rabbany and Professor Guillaume Rabusseau.

Meng Qu (Mila)
Kellin Pelrine (McGill University; Mila Institute)
Jianan Zhao (Université de Montréal)
Farimah Poursafaei (McGill University)
Aarash Feizi (McGill / Mila)

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