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YEWEN WANG

2 accepted papers

2024

Non-Euclidean Mixture Model for Social Network Embedding

NeurIPS 2024poster

It is largely agreed that social network links are formed due to either homophily or social influence. Inspired by this, we aim at understanding the generation of links via providing a novel embedding-based graph formation model. Different from existing graph representation learning, where link gene…

2019

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks

NeurIPS 2019poster

Graph convolutional networks (GCNs) have recently received wide attentions, due to their successful applications in different graph tasks and different domains. Training GCNs for a large graph, however, is still a challenge. Original full-batch GCN training requires calculating the representation of…