Graph Matching Networks for Learning the Similarity of Graph Structured Objects

29 April 2019

Papers citing "Graph Matching Networks for Learning the Similarity of Graph Structured Objects"

9 / 209 papers shown

Title
SuperGlue: Learning Feature Matching with Graph Neural Networks Paul-Edouard Sarlin Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 3DPC OffRL 8 1,878 0 26 Nov 2019
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation Zequn Sun Chengming Wang Wei Hu Muhao Chen Jian Dai Wei Zhang Yuzhong Qu 15 322 0 20 Nov 2019
GLMNet: Graph Learning-Matching Networks for Feature Matching Bo Jiang Pengfei Sun Jin Tang B. Luo 15 34 0 18 Nov 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 18 23 0 06 Oct 2019
Precise system-wide concatic malware unpacking D. Korczynski 7 3 0 24 Aug 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 26 5,390 0 20 Dec 2018
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching Yunsheng Bai Haoyang Ding Yizhou Sun Wei Wang GNN 16 98 0 10 Sep 2018
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,398 0 01 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,234 0 24 Nov 2016