Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching

10 September 2018

Papers citing "Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching"

9 / 9 papers shown

Title
Flexible Graph Similarity Computation With A Proactive Optimization Strategy Zhouyang Liu Ning Liu Yixin Chen Jiezhong He Dongsheng Li 29 0 0 09 Apr 2025
Efficient Graph Similarity Computation with Alignment Regularization Wei Zhuo Guang Tan 27 17 0 21 Jun 2024
Solving the Tree Containment Problem Using Graph Neural Networks A. Dushatskiy Esther Julien Leen Stougie L. Iersel 24 0 0 15 Apr 2024
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching Xuanzhou Liu Lin Zhang Jiaqi Sun Yujiu Yang Haiqing Yang 19 2 0 10 Jun 2023
Privacy-Preserved Neural Graph Similarity Learning Yupeng Hou Wayne Xin Zhao Yaliang Li Ji-Rong Wen 25 1 0 21 Oct 2022
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks Indradyumna Roy Soumen Chakrabarti A. De GNN 22 4 0 20 Oct 2022
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation Atefeh Sohrabizadeh Yuze Chi Jason Cong GNN 23 1 0 10 Nov 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 30 346 0 18 Feb 2021
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation Haoyan Xu Ziheng Duan Jie Feng Runjian Chen Yida Huang Zhongbin Xu Yueyang Wang 16 33 0 16 May 2020