most citedSAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs

4 citations · 10 across the 5 of their papers we have counts for

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cs.LG2024★ 1 cited

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction

Tianyu Liu, Qitan Lv, Jie Wang +2

Inductive relation prediction (IRP) -- where entities can be different during training and inference -- has shown great power for completing evolving knowledge graphs. Existing wor…

cs.LG2023★ 2 cited

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias

Zhihao Shi, Jie Wang, Fanghua Lu +5

Node representation learning on attributed graphs -- whose nodes are associated with rich attributes (e.g., texts and protein sequences) -- plays a crucial role in many important d…