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most citedCurriculum Learning for Graph Neural Networks: Which Edges Should We Learn First

3 citations · 3 across the 4 of their papers we have counts for

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cs.LG2024

GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets

Junxiang Wang, Liang Zhao

We introduce GraphSL, a new library for studying the graph source localization problem. graph diffusion and graph source localization are inverse problems in nature: graph diffusio…

cs.LG2024

Non-Euclidean Spatial Graph Neural Network

Zheng Zhang, Sirui Li, Jingcheng Zhou +4

Spatial networks are networks whose graph topology is constrained by their embedded spatial space. Understanding the coupled spatial-graph properties is crucial for extracting powe…