Time (EST) August 14th

Session I


8:00-8:15pm Session: Opening Remarks [video]
Jian Pei

Lingfei Wu
8:15-8:45pm Keynote talk 1: Reasoning in Knowledge Graphs with Beta Embeddings.

Jure Leskovec, Stanford University
8:45-9:15pm Keynote talk 2: Deep Learning on Text-Intensive Graphs: Exploring the Power of Text Embedding.

Jiawei Han, University of Illinois at Urbana-Champaign

Two Contributed Talks

Talk 1: Bags of tricks of node classification with graph neural networks [video]

Yangkun Wang, Jiarui Jin, Weinan Zhang, Yong Yu, Zheng Zhang, David Wipf

Talk 2: HANABI: Graph embedding for recommendation via conditional proximity [video]

Kachun Lo, Tsukasa Ishigaki

9:45-10:00pm Coffee Break/Social Networking
10:00-10:30pm Keynote talk 3: Graph Neural Networks with Learnable Structral and Positional Representation [video]

Xavier Bresson, National University of Singapore
10:30-11:00pm Keynote talk 4: Deep learning for graph similarity search.

Wei Wang, University of California, Los Angeles
11:00-12:00am Poster Session (Spotlight Talks + Live QA)

Time (EST) August 15th

Session II


11:00-11:05am Session: Opening Remarks
Jilinag Tang

Yinglong Xia
11:05-11:30am Keynote talk 5: Neural Algorithmic Reasoning

Petar Velickovic, DeepMind

Two Contributed Talks + Live QA

Talk 3: Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs [video]

Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

Talk 4: Single node attack for fooling graph neural networks [video]

Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon

12:00-12:30pm Keynote talk 6: Molecule Optimization by Explainable Evolution

Le Song, Georgia Institute of Technology
12:30-12:45pm Coffee Break/Social Networking
12:45-1:15pm Keynote talk 7: Utilizing Graph Intrinsic Structures to Enhance Deep Neural Networks for Feature Learnin

Heng Huang, University of Pittsburgh
1:15-1:30pm Best Paper Award Ceremony + Final Remarks
Lingfei Wu
1:30-3:00pm Poster Session (Spotlight Talks + Live QA)