53 citations · 116 across the 3 of their papers we have counts for
3 papers
cs.DS2021★ 45 cited
Approximate Graph Propagation
Hanzhi Wang, Mingguo He, Zhewei Wei +4
Efficient computation of node proximity queries such as transition probabilities, Personalized PageRank, and Katz are of fundamental importance in various graph mining and learning…
cs.LG2020★ 53 cited
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…
cs.DS2020★ 18 cited
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…