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09/19/2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks
Graph Neural Networks (GNNs) have become popular in Graph Representation...
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06/05/2023
Towards Arbitrarily Expressive GNNs in O(n^2) Space by Rethinking Folklore Weisfeiler-Lehman
Message passing neural networks (MPNNs) have emerged as the most popular...
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03/05/2023
Time Associated Meta Learning for Clinical Prediction
Rich Electronic Health Records (EHR), have created opportunities to impr...
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01/27/2023
A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks
Learning to represent free text is a core task in many clinical machine ...
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10/06/2022
Geodesic Graph Neural Network for Efficient Graph Representation Learning
Recently, Graph Neural Networks (GNNs) have been applied to graph learni...
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04/29/2022