Six original graph data and nine synthetic graph data.
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posted on 2024-04-30, 17:33 authored by Qingju Jiao, Han Zhang, Jingwen Wu, Nan Wang, Guoying Liu, Yongge LiuSix original graph data and nine synthetic graph data.
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first introduce pathextensional adjacency matrixachieved impressive performanceincorporate node featuresgraphs without featuresgraph neural networkseffective convolutional operatordiv >< pcurrent gnns includingsimple convolutional operatorconvolutional operatorworld graphsnode classificationgraph learningsix realnew directionimproved remarkablygnns ),general skillexop driven neighborhoodscommunity detectionapproach named13 gnns
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