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20182024
most citedCombining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks

33 citations · 56 across the 9 of their papers we have counts for

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2 papers · 1 filter

cs.AI2024

Multi-Scale Subgraph Contrastive Learning

Yanbei Liu, Yu Zhao, Xiao Wang +2

Graph-level contrastive learning, aiming to learn the representations for each graph by contrasting two augmented graphs, has attracted considerable attention. Previous studies usu…

cs.AI2022★ 4 cited

Graph Learning and Its Advancements on Large Language Models: A Holistic Survey

Shaopeng Wei, Jun Wang, Yu Zhao +6

Graph learning is a prevalent domain that endeavors to learn the intricate relationships among nodes and the topological structure of graphs. Over the years, graph learning has tra…