Invited Talks

• On the Generalization of Graph Neural Networks and their Applications in Probabilistic Inference. Canadian Applied and Industrial Math Society (CAIMS) Annual Meeting, Virtual, Jun 21, 2021
• Structures and Deep Generative Models. Autodesk Research, Virtual, May 26, 2021
• Improving Deep Learning on Graphs. Department of Chemical and Biological Engineering, University of British Columbia, Virtual, Mar. 8, 2021
• Improving Deep Learning on Graphs. Google Brain, Virtual, Jan. 22, 2021
• Deep Learning on Graphs. Tencent AI Lab Seattle, Virtual, Nov. 17, 2020
• Deep Learning on Graphs. NVIDIA Research, Virtual, Oct. 28, 2020
• Deep Learning on Graphs. VALSE, Virtual, Oct. 21, 2020
• Deep Learning on Graphs. Google Brain, Toronto, Mar. 3, 2020
• Efficient Graph Generation with Graph Recurrent Attention Networks. Uber AI Lab, Virtual, Oct. 25, 2019
• Efficient Graph Generation with Graph Recurrent Attention Networks. Facebook AI Research, Montreal, Sep. 19, 2019
• Efficient Graph Generation with Graph Recurrent Attention Networks. Mila - Quebec AI Institute, Montreal, Sep. 18, 2019
• Efficient Graph Generation with Graph Recurrent Attention Networks. Google Brain, Montreal, Sep. 18, 2019
• Graph Neural Networks. IBM Thomas J. Watson Research Center, Yorktown Heights, NY, Aug. 9, 2018
• Graph Neural Networks. NEC Labs, Princeton, NJ, Aug. 7, 2018
• Graph Neural Networks. Borealis AI, Toronto, ON, Jul. 6, 2018
• Reviving and Improving Recurrent Back-Propagation. Borealis AI, Edmonton, AB, Apr. 27, 2018
• Graph Neural Networks. Department of Computing Science, University of Alberta, Edmonton, AB, Apr. 26, 2018
• Graph Neural Networks. Google Brain, Toronto, Mar. 27, 2018
• Deep Learning on Graphs. UTMIST, Toronto, ON, Jan. 29, 2018
• Deep Learning on Graphs. ML Ensemble, Toronto, ON, Jan. 20, 2018