HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling
ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data augmentation, which may distort intrinsic graph semantics and produce poor generalisation without carefully chosen or designed augmentation
Fenglin Cen +4 more
wiley +1 more source
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Li SJ, Zou ZJ, Ye X, Lin C.
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Semantic Web and Social Web Heading Towards Living Documents in the Life Sciences
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The autonomy of the United Wa State Army of Myanmar today is said to be based on the egalitarianism of Wa communities in the past. The analysis of commensuration in kinship, sacrifice, and war challenges these portrayals of autonomy and egalitarianism.
Hans Steinmüller
wiley +1 more source

