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20232026
most citedHow Much Can RAG Help the Reasoning of LLM?

1 citations · 2 across the 7 of their papers we have counts for

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cs.LG2023★ 1 cited

Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method

Yulan Hu, Sheng Ouyang, Jingyu Liu +6

Graph contrastive learning (GCL) has emerged as a representative graph self-supervised method, achieving significant success. The currently prevalent optimization objective for GCL…

cs.LG2023

Perfect Alignment May be Poisonous to Graph Contrastive Learning

Jingyu Liu, Huayi Tang, Yong Liu

Graph Contrastive Learning (GCL) aims to learn node representations by aligning positive pairs and separating negative ones. However, few of researchers have focused on the inner l…