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06/22/2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations
While several types of post hoc explanation methods (e.g., feature attri...
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12/22/2021
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
Space biology research aims to understand fundamental effects of spacefl...
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06/18/2020
Subgraph Neural Networks
Deep learning methods for graphs achieve remarkable performance on many ...
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05/02/2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
We present the Open Graph Benchmark (OGB), a diverse set of challenging ...
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04/30/2020
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
Molecular interaction networks are powerful resources for the discovery....
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03/10/2019
GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks
Graph Neural Networks (GNNs) are a powerful tool for machine learning on...
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06/05/2018
Querying Complex Networks in Vector Space
Learning vector embeddings of complex networks is a powerful approach us...
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05/07/2018
