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20212024
most citedGSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs

16 citations · 18 across the 5 of their papers we have counts for

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cs.SI2024

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks

Yankai Chen, Yixiang Fang, Qiongyan Wang +2

Node importance estimation problem has been studied conventionally with homogeneous network topology analysis. To deal with network heterogeneity, a few recent methods employ graph…

cs.SI2021★ 1 cited

Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model

Linhao Luo, Yixiang Fang, Xin Cao +2

Community detection, aiming to group the graph nodes into clusters with dense inner-connection, is a fundamental graph mining task. Recently, it has been studied on the heterogeneo…