most citedDisentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction

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cs.LG2023

Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing

Jung Yeon Park, Lawson L. S. Wong, Robin Walters

Data over non-Euclidean manifolds, often discretized as surface meshes, naturally arise in computer graphics and biological and physical systems. In particular, solutions to partia…

cs.LG2023★ 1 cited

Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction

Ayan Chatterjee, Robin Walters, Giulia Menichetti +1

Link prediction is a crucial task in graph machine learning with diverse applications. We explore the interplay between node attributes and graph topology and demonstrate that inco…