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20232025
most citedMolecular Graph Representation Learning via Structural Similarity Information

4 citations · 4 across the 4 of their papers we have counts for

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cs.LG2023

Rethinking Causal Relationships Learning in Graph Neural Networks

Hang Gao, Chengyu Yao, Jiangmeng Li +5

Graph Neural Networks (GNNs) demonstrate their significance by effectively modeling complex interrelationships within graph-structured data. To enhance the credibility and robustne…