21 citations · 44 across the 5 of their papers we have counts for
5 papers
RCsearcher: Reaction Center Identification in Retrosynthesis via Deep Q-Learning
Zixun Lan, Zuo Zeng, Binjie Hong +2
The reaction center consists of atoms in the product whose local properties are not identical to the corresponding atoms in the reactants. Prior studies on reaction center identifi…
AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching
Zixun Lan, Ye Ma, Limin Yu +2
Subgraph matching is to find all subgraphs in a data graph that are isomorphic to an existing query graph. Subgraph matching is an NP-hard problem, yet has found its applications i…
Jet tagging algorithm of graph network with HaarPooling message passing
Fei Ma, Feiyi Liu, Wei Li
Recently methods of graph neural networks (GNNs) have been applied to solving the problems in high energy physics (HEP) and have shown its great potential for quark-gluon tagging w…
More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference
Zixun Lan, Binjie Hong, Ye Ma +1
Graph similarity measurement, which computes the distance/similarity between two graphs, arises in various graph-related tasks. Recent learning-based methods lack interpretability,…
Sub-GMN: The Neural Subgraph Matching Network Model
Zixun Lan, Limin Yu, Linglong Yuan +3
As one of the most fundamental tasks in graph theory, subgraph matching is a crucial task in many fields, ranging from information retrieval, computer vision, biology, chemistry an…