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Deep Graph Matching Consensus

Deep Graph Matching Consensus

27 January 2020
Matthias Fey
J. E. Lenssen
Christopher Morris
Jonathan Masci
Nils M. Kriege
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Papers citing "Deep Graph Matching Consensus"

24 / 24 papers shown
Title
The Balanced-Pairwise-Affinities Feature Transform
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam
Simon Korman
29
0
0
25 Jun 2024
Equivariant Deep Weight Space Alignment
Equivariant Deep Weight Space Alignment
Aviv Navon
Aviv Shamsian
Ethan Fetaya
Gal Chechik
Nadav Dym
Haggai Maron
16
21
0
20 Oct 2023
Unsupervised Deep Graph Matching Based on Cycle Consistency
Unsupervised Deep Graph Matching Based on Cycle Consistency
Siddharth Tourani
Carsten Rother
M. H. Khan
Bogdan Savchynskkyy
24
3
0
18 Jul 2023
Universe Points Representation Learning for Partial Multi-Graph Matching
Universe Points Representation Learning for Partial Multi-Graph Matching
Zhakshylyk Nurlanov
Frank R. Schmidt
Florian Bernard
9
5
0
01 Dec 2022
Exponentially Improving the Complexity of Simulating the
  Weisfeiler-Lehman Test with Graph Neural Networks
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
Anders Aamand
Justin Y. Chen
Piotr Indyk
Shyam Narayanan
R. Rubinfeld
Nicholas Schiefer
Sandeep Silwal
Tal Wagner
32
21
0
06 Nov 2022
End-to-End Context-Aided Unicity Matching for Person Re-identification
End-to-End Context-Aided Unicity Matching for Person Re-identification
Ming-Ming Cao
Cong Ding
Chen Chen
Junchi Yan
Yinqiang Zheng
21
0
0
20 Oct 2022
Maximum Common Subgraph Guided Graph Retrieval: Late and Early
  Interaction Networks
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks
Indradyumna Roy
Soumen Chakrabarti
A. De
GNN
22
4
0
20 Oct 2022
LightEA: A Scalable, Robust, and Interpretable Entity Alignment
  Framework via Three-view Label Propagation
LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation
Xin Mao
Wenting Wang
Yuanbin Wu
Man Lan
3DV
13
33
0
19 Oct 2022
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid
  Shape Correspondence
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence
Lei Li
Souhaib Attaiki
M. Ovsjanikov
19
8
0
16 Sep 2022
SeedGNN: Graph Neural Networks for Supervised Seeded Graph Matching
SeedGNN: Graph Neural Networks for Supervised Seeded Graph Matching
LIREN YU
Jiaming Xu
Xiaojun Lin
14
2
0
26 May 2022
ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for
  Efficient Feature Matching
ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching
Yanxing Shi
Junxiong Cai
Yoli Shavit
Tai-Jiang Mu
Wensen Feng
Kai Zhang
GNN
11
77
0
25 Apr 2022
Efficient Linear Attention for Fast and Accurate Keypoint Matching
Efficient Linear Attention for Fast and Accurate Keypoint Matching
Suwichaya Suwanwimolkul
S. Komorita
3DPC
3DV
11
11
0
16 Apr 2022
Deep Probabilistic Graph Matching
Deep Probabilistic Graph Matching
He Liu
Tao Wang
Yidong Li
Congyan Lang
Songhe Feng
Haibin Ling
10
2
0
05 Jan 2022
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
Maximilian Krahn
Florian Bernard
Vladislav Golyanik
13
1
0
21 Oct 2021
Joint Graph Learning and Matching for Semantic Feature Correspondence
Joint Graph Learning and Matching for Semantic Feature Correspondence
He Liu
Tao Wang
Yidong Li
Congyan Lang
Yi Jin
Haibin Ling
8
20
0
01 Sep 2021
Are Negative Samples Necessary in Entity Alignment? An Approach with
  High Performance, Scalability and Robustness
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
Xin Mao
Wenting Wang
Yuanbin Wu
Man Lan
19
26
0
11 Aug 2021
Inter-domain Multi-relational Link Prediction
Inter-domain Multi-relational Link Prediction
Luu Huu Phuc
Koh Takeuchi
Seiji Okajima
A. Tolmachev
T. Takebayashi
Koji Maruhashi
H. Kashima
29
0
0
11 Jun 2021
Convolutional Hough Matching Networks
Convolutional Hough Matching Networks
Juhong Min
Minsu Cho
15
65
0
31 Mar 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
28
344
0
18 Feb 2021
Fusion Moves for Graph Matching
Fusion Moves for Graph Matching
Lisa Hutschenreiter
Stefan Haller
Lorenz Feineis
Carsten Rother
Dagmar Kainmüller
Bogdan Savchynskyy
10
15
0
28 Jan 2021
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Matthias Fey
Jan-Gin Yuen
F. Weichert
GNN
17
85
0
22 Jun 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
229
1,935
0
09 Jun 2018
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
165
1,630
0
11 Oct 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
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