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10/06/2022
Expander Graph Propagation
Deploying graph neural networks (GNNs) on whole-graph classification or ...
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06/17/2022
Sheaf Neural Networks with Connection Laplacians
A Sheaf Neural Network (SNN) is a type of Graph Neural Network (GNN) tha...
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05/31/2022
The CLRS Algorithmic Reasoning Benchmark
Learning representations of algorithms is an emerging area of machine le...
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04/11/2022
Learning heuristics for A*
Path finding in graphs is one of the most studied classes of problems in...
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03/29/2022
Graph Neural Networks are Dynamic Programmers
Recent advances in neural algorithmic reasoning with graph neural networ...
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05/31/2021
Neural message passing for joint paratope-epitope prediction
Antibodies are proteins in the immune system which bind to antigens to d...
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04/27/2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
The last decade has witnessed an experimental revolution in data science...
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02/12/2021
Bootstrapped Representation Learning on Graphs
Current state-of-the-art self-supervised learning methods for graph neur...
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04/12/2020
Principal Neighbourhood Aggregation for Graph Nets
Graph Neural Networks (GNNs) have been shown to be effective models for ...
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12/12/2019
The PlayStation Reinforcement Learning Environment (PSXLE)
We propose a new benchmark environment for evaluating Reinforcement Lear...
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09/27/2018
Deep Graph Infomax
We present Deep Graph Infomax (DGI), a general approach for learning nod...
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10/30/2017
