All talk recordings are now available. You can find the links below.

Schedule

Saturday, 15 June 2019
Grand Ballroom B, Long Beach Convention Center

8:45 - 9:00	Opening remarks
9:00 - 9:30	Invited talk: William L. Hamilton, McGill University. Graph Neural Networks and Graph Isomorphism [video]
9:30 - 9:45	Contributed talk: Aynaz Taheri and Tanya Berger-Wolf. Evolutionary Representation Learning for Dynamic Graphs [video]
9:45 - 10:00	Poster spotlights (Papers #1, #7, #9) [video]
10:00 - 11:00	Coffee break and morning poster session (Papers #1 - #20)
11:00 - 11:30	Invited talk: Marwin Segler, Benevolent AI. Reinforcement Learning with Graphs: Chemistry and Beyond [video]
11:30 - 12:00	Invited talk: Yaron Lipman, Weizmann Institute of Science. Invariant Graph Networks [video]
12:00 - 12:15	Contributed talk: Zheng Ma. PAN: Path Integral Based Convolution for Deep Graph Neural Networks [video]
12:15 - 12:30	Poster spotlights (Papers #21, #24, #25) [video]
12:30 - 14:00	Lunch break
14:00 - 14:30	Invited talk: Alex Polozov, Microsoft Research. Program Understanding Synthesis, and Verification with Graph Neural Networks [video]
14:30 - 15:00	Invited talk: Sanja Fidler, University of Toronto. Graph Nets for Content Creation [video]
15:00 - 15:15	Contributed talk: Enxhell Luzhnica, Ben Day and Pietro Lió. On Graph Classification Networks, Datasets and Baselines [video]
15:15 - 15:30	Poster spotlights (Papers #29, #31, #37) [video]
15:30 - 16:30	Coffee break and afternoon poster session (Papers #21 - #40)
16:30 - 17:00	Invited talk: Caroline Uhler, MIT. From Predictive to Causal Modeling: Bridging the Gap [video]
17:00 - 17:30	Invited talk: Alexander Schwing, University of Illinois at Urbana-Champaign. Learning to Anticipate [video]