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20182024
most citedGraph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization

10 citations · 21 across the 4 of their papers we have counts for

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cs.SI2019

Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach

Changjun Fan, Li Zeng, Yuhui Ding +3

Betweenness centrality (BC) is one of the most used centrality measures for network analysis, which seeks to describe the importance of nodes in a network in terms of the fraction…