1.6k citations · 2.5k across the 36 of their papers we have counts for
4 papers · 1 filter
Scalable Graph Neural Networks via Bidirectional Propagation
Ming Chen, Zhewei Wei, Bolin Ding +4
Graph Neural Networks (GNN) is an emerging field for learning on non-Euclidean data. Recently, there has been increased interest in designing GNN that scales to large graphs. Most…
Simple and Deep Graph Convolutional Networks
Ming Chen, Zhewei Wei, Zengfeng Huang +2
Graph convolutional networks (GCNs) are a powerful deep learning approach for graph-structured data. Recently, GCNs and subsequent variants have shown superior performance in vario…
Personalized PageRank to a Target Node, Revisited
Hanzhi Wang, Zhewei Wei, Junhao Gan +2
Personalized PageRank (PPR) is a widely used node proximity measure in graph mining and network analysis. Given a source node and a target node , the PPR value repr…
Exact Single-Source SimRank Computation on Large Graphs
Hanzhi Wang, Zhewei Wei, Ye Yuan +2
SimRank is a popular measurement for evaluating the node-to-node similarities based on the graph topology. In recent years, single-source and top- SimRank queries have received…