Deep Graph Matching Consensus

27 January 2020

Nils M. Kriege

Papers citing "Deep Graph Matching Consensus"

47 / 97 papers shown

Title
Deep Probabilistic Graph Matching He Liu Tao Wang Yidong Li Congyan Lang Songhe Feng Haibin Ling 16 2 0 05 Jan 2022
COTReg:Coupled Optimal Transport based Point Cloud Registration Guofeng Mei Xiaoshui Huang Litao Yu Jian Andrew Zhang Bennamoun 3DPC 16 9 0 29 Dec 2021
Weisfeiler and Leman go Machine Learning: The Story so far Christopher Morris Y. Lipman Haggai Maron Bastian Alexander Rieck Nils M. Kriege Martin Grohe Matthias Fey Karsten M. Borgwardt GNN 35 110 0 18 Dec 2021
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations Maximilian Krahn Florian Bernard Vladislav Golyanik 13 1 0 21 Oct 2021
Principled Representation Learning for Entity Alignment Lingbing Guo Zequn Sun Mingyang Chen Wei Hu Qiang Zhang Huajun Chen 15 0 0 21 Oct 2021
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence Juhong Min Seungwook Kim Minsu Cho 28 15 0 11 Sep 2021
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment Xin Mao Wenting Wang Yuanbin Wu Man Lan 21 68 0 06 Sep 2021
Joint Graph Learning and Matching for Semantic Feature Correspondence He Liu Tao Wang Yidong Li Congyan Lang Yi Jin Haibin Ling 30 20 0 01 Sep 2021
Learning to Match Features with Seeded Graph Matching Network Hongkai Chen Zixin Luo Jiahui Zhang Lei Zhou Xuyang Bai Zeyu Hu Chiew-Lan Tai Long Quan 15 110 0 19 Aug 2021
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness Xin Mao Wenting Wang Yuanbin Wu Man Lan 21 26 0 11 Aug 2021
Deep graph matching meets mixed-integer linear programming: Relax at your own risk ? Zhoubo Xu Puqing Chen R. Raveaux Xin Yang Huadong Liu 21 2 0 01 Aug 2021
A Self-supervised Method for Entity Alignment Xiao Liu Haoyun Hong Xinghao Wang Zeyi Chen Evgeny Kharlamov Yuxiao Dong Jie Tang SSL 16 9 0 17 Jun 2021
Inter-domain Multi-relational Link Prediction Luu Huu Phuc Koh Takeuchi Seiji Okajima A. Tolmachev T. Takebayashi Koji Maruhashi H. Kashima 40 0 0 11 Jun 2021
Knowing the No-match: Entity Alignment with Dangling Cases Zequn Sun Muhao Chen Wei Hu 16 33 0 04 Jun 2021
Stochastic Iterative Graph Matching Linfeng Liu M. C. Hughes S. Hassoun Liping Liu 25 15 0 04 Jun 2021
Experiments with graph convolutional networks for solving the vertex $p$ -center problem Elisabeth Gaar Markus Sinnl GNN 23 0 0 01 Jun 2021
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs Willis Hoke D. Shea S. Casey AI4CE 19 0 0 26 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs Christopher Morris Matthias Fey Nils M. Kriege GNN 28 23 0 12 May 2021
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints Anselm Paulus Michal Rolínek Vít Musil Brandon Amos Georg Martius 18 59 0 05 May 2021
Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections Zhenzhang Ye Tarun Yenamandra Florian Bernard Daniel Cremers 3DPC 3DH 3DV 21 7 0 31 Mar 2021
Convolutional Hough Matching Networks Juhong Min Minsu Cho 15 65 0 31 Mar 2021
Deep Graph Matching under Quadratic Constraint Quankai Gao Fudong Wang Nan Xue Jin-Gang Yu Guisong Xia 14 37 0 11 Mar 2021
A comprehensive survey on point cloud registration Xiaoshui Huang Guofeng Mei Jian Andrew Zhang R. Abbas 3DPC 19 252 0 03 Mar 2021
RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment Renbo Zhu Meng Ma Ping Wang 11 51 0 01 Mar 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 346 0 18 Feb 2021
Fusion Moves for Graph Matching Lisa Hutschenreiter Stefan Haller Lorenz Feineis Carsten Rother Dagmar Kainmüller Bogdan Savchynskyy 16 15 0 28 Jan 2021
Towards Entity Alignment in the Open World: An Unsupervised Approach Weixin Zeng Xiang Zhao Jiuyang Tang Xinyi Li Minnan Luo Q. Zheng OffRL 13 21 0 26 Jan 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 51 52 0 21 Jan 2021
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 42 57 0 31 Dec 2020
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching Chang-rui Liu Zetian Jiang Runzhong Wang Junchi Yan Lingxiao Huang P. Lu 21 9 0 16 Dec 2020
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding Runzhong Wang Tianqi Zhang Tianshu Yu Junchi Yan Xiaokang Yang 15 40 0 30 Nov 2020
A contribution to Optimal Transport on incomparable spaces Titouan Vayer OT 25 19 0 09 Nov 2020
A Critical Assessment of State-of-the-Art in Entity Alignment M. Berrendorf Ludwig Wacker Evgeniy Faerman 19 4 0 30 Oct 2020
Contrastive Graph Neural Network Explanation Lukas Faber A. K. Moghaddam Roger Wattenhofer 26 36 0 26 Oct 2020
Correspondence Learning via Linearly-invariant Embedding R. Marin Marie-Julie Rakotosaona Simone Melzi M. Ovsjanikov 3DPC 28 64 0 25 Oct 2020
High-Order Relation Construction and Mining for Graph Matching Hui Xu Liyao Xiang Youmin Le Xiaoying Gan Yuting Jia Luoyi Fu Xinbing Wang 16 1 0 09 Oct 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing Ziwei Zhang Chenhao Niu Peng Cui Jian Pei Bo Zhang Wenwu Zhu 21 2 0 05 Sep 2020
Relational Reflection Entity Alignment Xin Mao Wenting Wang Huimin Xu Yuanbin Wu Man Lan 12 131 0 18 Aug 2020
Neural Subgraph Matching Rex Ying Ying Zhaoyu Lou Jiaxuan You Chengtao Wen A. Canedo J. Leskovec GNN 8 85 0 06 Jul 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs Matthias Fey Jan-Gin Yuen F. Weichert GNN 30 86 0 22 Jun 2020
Optimal Transport Graph Neural Networks Benson Chen Gary Bécigneul O. Ganea Regina Barzilay Tommi Jaakkola OT 33 44 0 08 Jun 2020
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers Michal Rolínek Paul Swoboda Dominik Zietlow Anselm Paulus Vít Musil Georg Martius 10 113 0 25 Mar 2020
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 21 76 0 25 Dec 2019
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned M. Berrendorf Evgeniy Faerman Valentyn Melnychuk Volker Tresp T. Seidl GNN 14 15 0 19 Nov 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018
Word Translation Without Parallel Data Alexis Conneau Guillaume Lample MarcÁurelio Ranzato Ludovic Denoyer Hervé Jégou 171 1,635 0 11 Oct 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 247 3,236 0 24 Nov 2016