Co-Attention Graph Pooling for Efficient Pairwise Graph Interaction Learning

Graph Neural Networks (GNNs) have proven to be effective in processing and learning from graph-structured data. However, previous works mainly focused on understanding single graph inputs while many real-world applications require pair-wise analysis for graph-structured data (e.g., scene graph match...

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Bibliografiske detaljer

Principais autores:	Junhyun Lee, Bumsoo Kim, Minji Jeon, Jaewoo Kang
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2023-01-01
Serier:	IEEE Access
Fag:	Graph neural networks graph pooling pairwise graph interaction drug-drug interaction graph edit distance
Online adgang:	https://ieeexplore.ieee.org/document/10196307/
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