31 citations · 57 across the 15 of their papers we have counts for
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cs.LG2022
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching
Hanchen Wang, Ying Zhang, Lu Qin +3
Subgraph matching is a fundamental problem in various fields that use graph structured data. Subgraph matching algorithms enumerate all isomorphic embeddings of a query graph q in…
cs.LG2020
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
Hanchen Wang, Defu Lian, Ying Zhang +2
Entity interaction prediction is essential in many important applications such as chemistry, biology, material science, and medical science. The problem becomes quite challenging w…
cs.LG2020
Binarized Graph Neural Network
Hanchen Wang, Defu Lian, Ying Zhang +4
Recently, there have been some breakthroughs in graph analysis by applying the graph neural networks (GNNs) following a neighborhood aggregation scheme, which demonstrate outstandi…