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33 Results

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Poster
Thu 9:00 Deep Generative Model for Periodic Graphs
Shiyu Wang · Xiaojie Guo · Liang Zhao
Poster
Wed 9:00 Multi-objective Deep Data Generation with Correlated Property Control
Shiyu Wang · Xiaojie Guo · Xuanyang Lin · Bo Pan · Yuanqi Du · Yinkai Wang · Yanfang Ye · Ashley Petersen · Austin Leitgeb · Saleh Alkhalifa · Kevin Minbiole · William M. Wuest · Amarda Shehu · Liang Zhao
Poster
Wed 9:00 A Variational Edge Partition Model for Supervised Graph Representation Learning
Yilin He · Chaojie Wang · Hao Zhang · Bo Chen · Mingyuan Zhou
Poster
Wed 14:00 Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi · Ekdeep S Lubana · Mark Heimann · Danai Koutra · Jayaraman Thiagarajan
Workshop
Pre-training via Denoising for Molecular Property Prediction
Sheheryar Zaidi · Michael Schaarschmidt · James Martens · Hyunjik Kim · Yee Whye Teh · Alvaro Sanchez Gonzalez · Peter Battaglia · Razvan Pascanu · Jonathan Godwin
Workshop
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs
Khang Ngo · Truong Son Hy · Risi Kondor
Workshop
Tabular Data Generation: Can We Fool XGBoost ?
EL Hacen Zein · Tanguy Urvoy
Poster
On the relationship between variational inference and auto-associative memory
Louis Annabi · Alexandre Pitti · Mathias Quoy
Poster
Thu 14:00 Simultaneous Missing Value Imputation and Structure Learning with Groups
Pablo Morales-Alvarez · Wenbo Gong · Angus Lamb · Simon Woodhead · Simon Peyton Jones · Nick Pawlowski · Miltiadis Allamanis · Cheng Zhang