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Workshop
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
Aviv Netanyahu · Tianmin Shu · Joshua B Tenenbaum · Pulkit Agrawal
Workshop
Learning Weighted Product Spaces Representations for Graphs of Heterogeneous Structures
Tuc Nguyen · Dung Le · Anh Ta
Workshop
Fri 13:00 Panel B: Long-Range Graph Representation Learning
Poster
Wed 10:30 Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction
Mingyue Tang · Pan Li · Carl Yang
Poster
Mon 18:30 Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
Dacheng Yin · Xuanchi Ren · Chong Luo · Yuwang Wang · Zhiwei Xiong · Wenjun Zeng
Workshop
Learning Object-Centered Autotelic Behaviors with Graph Neural Networks
Ahmed Akakzia · Olivier Sigaud
Spotlight
Tue 2:30 Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen · Stephan G√ľnnemann
Workshop
Message Passing Neural Processes
Catalina Cangea · Ben Day · Arian Jamasb · Pietro Lio
Workshop
Fri 6:00 Learning Algorithmic Tasks with Graph Neural Networks: Generalization and Extrapolation
Stefanie Jegelka
Poster
Wed 18:30 LEARNING GUARANTEES FOR GRAPH CONVOLUTIONAL NETWORKS ON THE STOCHASTIC BLOCK MODEL
Wei Lu
Poster
Tue 2:30 Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen · Stephan G√ľnnemann
Workshop
Fri 11:00 Learning to Walk over Relational Graphs of Source Code
Pardis Pashakhanloo · Aaditya Naik · Hanjun Dai · Petros Maniatis · Mayur Naik