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20212025
most citedLabel Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs

9 citations · 11 across the 7 of their papers we have counts for

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cs.AI2024

Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs

Xinyu Lin, Tianyu Zhang, Chengbin Hou +3

Node Importance Estimation (NIE) is a task that quantifies the importance of node in a graph. Recent research has investigated to exploit various information from Knowledge Graphs…

cs.AI2024★ 9 cited

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs

Tianyu Zhang, Chengbin Hou, Rui Jiang +4

Node Importance Estimation (NIE) is a task of inferring importance scores of the nodes in a graph. Due to the availability of richer data and knowledge, recent research interests o…