Abstract: In recent years, the out-of-distribution (OOD) generalization problem of graph data has received widespread attention, which refers to how a model maintains strong generalization performance ...
Abstract: Graph Random Walks (GRWs) offer efficient approximations of key graph properties and have been widely adopted in many applications. However, GRW workloads are notoriously difficult to ...
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