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Poster
Thu 14:00 Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
Alessandro Epasto · Vahab Mirrokni · Bryan Perozzi · Anton Tsitsulin · Peilin Zhong
Workshop
Revisiting Robustness in Graph Machine Learning
Lukas Gosch · Daniel Sturm · Simon Geisler · Stephan Günnemann
Poster
Tue 9:00 Equivariant Networks for Crystal Structures
Oumar Kaba · Siamak Ravanbakhsh
Poster
Thu 9:00 MAgNet: Mesh Agnostic Neural PDE Solver
Oussama Boussif · Yoshua Bengio · Loubna Benabbou · Dan Assouline
Workshop
Revisiting Robustness in Graph Machine Learning
Lukas Gosch · Daniel Sturm · Simon Geisler · Stephan Günnemann
Workshop
Learning Feynman Diagrams using Graph Neural Networks
Alexander Norcliffe · Harrison Mitchell · Pietro Lió
Poster
Tue 14:00 Asymptotics of 2 Regularized Network Embeddings
Andrew Davison
Workshop
A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning
Austin Atsango · Nathaniel Diamant · Ziqing Lu · Tommaso Biancalani · Gabriele Scalia · Kangway Chuang
Poster
Wed 14:00 Does GNN Pretraining Help Molecular Representation?
Ruoxi Sun · Hanjun Dai · Adams Wei Yu
Workshop
STab: Self-supervised Learning for Tabular Data
Ehsan Hajiramezanali · Max Shen · Gabriele Scalia · Nathaniel Diamant
Poster
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Shaohua Fan · Xiao Wang · Yanhu Mo · Chuan Shi · Jian Tang
Poster
Thu 9:00 Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings
Dongxu Zhang · Michael Boratko · Cameron Musco · Andrew McCallum