Learnt Sparsification for Interpretable Graph Neural Networks
收藏DataCite Commons2025-01-03 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/742e5166-ad0e-423f-a039-e5e4b5966834
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资源简介：
Graph neural networks (GNNs) have achieved great success on various tasks and fields that require relational modeling. GNNs aggregate node features using the graph structure as inductive biases resulting in flexible and powerful models. However, GNNs remain hard to interpret as the interplay between node features and graph structure is only implicitly learned.
提供机构：
TIB
创建时间：
2025-01-03
