GLSearch: Maximum Common Subgraph Detection via Learning to Search

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GLSearch: Maximum Common Subgraph Detection via Learning to Search

International Conference on Machine Learning (ICML), 2024

8 February 2020

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Papers citing "GLSearch: Maximum Common Subgraph Detection via Learning to Search"

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Title
DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching Wei-Ping Huang Hanchen Wang Dong Wen Wenjie Zhang Yanzhe Zhang Xuemin Lin 97 1 0 24 Mar 2025
SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning Wenjun Wang Jiacheng Lu Kejia Chen Zheng Liu Shilong Sang 57 0 0 06 Nov 2024
Commute-Time-Optimised Graphs for GNNs Igor Sterner Shiye Su Petar Velickovic 184 2 0 09 Jul 2024
Self-Localized Collaborative Perception Zhenyang Ni Zixing Lei Yifan Lu Dingju Wang Chen Feng Yanfeng Wang Siheng Chen 149 3 0 18 Jun 2024
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization A. B. Chowdhury Marco Romanelli Benjamin Tan Ramesh Karri Siddharth Garg 112 2 0 22 Jan 2024
Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision P. F. Pimenta Pedro H. C. Avelar Luís C. Lamb 73 0 0 19 Apr 2023
Learning to Count Isomorphisms with Graph Neural Networks Xingtong Yu Zemin Liu Yuan Fang Xinming Zhang GNN 118 17 0 07 Feb 2023
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks Indradyumna Roy Soumen Chakrabarti A. De GNN 95 8 0 20 Oct 2022
Learning Universe Model for Partial Matching Networks over Multiple Graphs Zetian Jiang Jiaxin Lu Tianzhe Wang Junchi Yan 99 2 0 19 Oct 2022
Hybrid Learning with New Value Function for the Maximum Common Subgraph Problem Yanli Liu Jiming Zhao ChuMin Li Hua Jiang Kun He 45 1 0 18 Aug 2022
Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search Yunsheng Bai Derek Xu Luke Huan Wei Wang GNN 92 0 0 21 Jul 2022
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning Di Jin Luzhi Wang Yizhen Zheng Xiang Li Fei Jiang Jialin Li Shirui Pan SSL 129 21 0 30 May 2022
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation David Ireland Giovanni Montana GNN 48 11 0 20 May 2022
A Survey on Machine Learning Solutions for Graph Pattern Extraction Kai Siong Yow Ningyi Liao Siqiang Luo Reynold Cheng Chenhao Ma Xiaolin Han 150 3 0 03 Apr 2022
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching Xin Liu Yangqiu Song GNN 104 32 0 16 Dec 2021
Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness Xuwei Tan Yangming Zhou Mengchu Zhou Zhang-Hua Fu GNN 129 4 0 03 Dec 2021
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching Chang-rui Liu Zetian Jiang Runzhong Wang Junchi Yan Lingxiao Huang Pinyan Lu 189 10 0 16 Dec 2020