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Message Passing All The Way Up, link
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A video on oversmoothing, link
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Graph-In-Graph: Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications, link
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About the role of graph pooling, link
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Cooperative GNNs, link
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Graph benchmark, link
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Oversquashing, bottlenecks, Graph Ricci curvature, link
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Message passing simplicial networks, link
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Enhancing topological message passing, link
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Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting, link
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Weisfeiler and lehman go topological: Message passing simplicial networks, link
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Geometric deep learning: going beyond euclidean data, link
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Dynamic Graph CNN for learning on point clouds, link
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Geometric deep learning on graphs and manifolds using mixture model cnns, link
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Graph Attention Networks, link