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"

50 / 209 papers shown

Title
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training Xin Wang Yasheng Wang Yao Wan Jiawei Wang Pingyi Zhou Li Li Hao Wu Jin Liu 16 33 0 04 May 2022
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning Yao Xiao Guixiang Ma Nesreen Ahmed Mihai Capota Ted Willke Shahin Nazarian P. Bogdan 8 2 0 25 Apr 2022
Graph similarity learning for change-point detection in dynamic networks Déborah Sulem Henry Kenlay Mihai Cucuringu Xiaowen Dong 28 14 0 29 Mar 2022
Geodesic Multi-Modal Mixup for Robust Fine-Tuning Changdae Oh Junhyuk So Hoyoon Byun Yongtaek Lim Minchul Shin Jong-June Jeon Kyungwoo Song 21 26 0 08 Mar 2022
Neural Graph Matching for Pre-training Graph Neural Networks Yupeng Hou Binbin Hu Wayne Xin Zhao Zhiqiang Zhang Jun Zhou Jianzhong Wen 10 8 0 03 Mar 2022
Equivariant Graph Attention Networks for Molecular Property Prediction Tuan Le Frank Noé Djork-Arné Clevert 11 21 0 20 Feb 2022
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning Huan Song Zeng Dai Panpan Xu Liu Ren NAI GNN 25 10 0 18 Feb 2022
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences Vinayak Gupta Srikanta J. Bedathur A. De AI4TS 20 13 0 17 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 15 40 0 15 Feb 2022
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction Hannes Stärk O. Ganea L. Pattanaik Regina Barzilay Tommi Jaakkola 6 260 0 07 Feb 2022
Graph Self-supervised Learning with Accurate Discrepancy Learning Dongki Kim Jinheon Baek Sung Ju Hwang SSL 8 36 0 07 Feb 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 15 5 0 21 Jan 2022
Binary Diffing as a Network Alignment Problem via Belief Propagation Elie Mengin Fabrice Rossi 8 4 0 31 Dec 2021
GREED: A Neural Framework for Learning Graph Distance Functions Rishab Ranjan Siddharth Grover Sourav Medya Venkatesan T. Chakaravarthy Yogish Sabharwal Sayan Ranu GNN 17 30 0 24 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 27 110 0 18 Dec 2021
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering Jianjian Cao Xiameng Qin Sanyuan Zhao Jianbing Shen 23 20 0 14 Dec 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos C. Alippi L. Pozzi 21 4 0 29 Nov 2021
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking O. Ganea Xinyuan Huang Charlotte Bunne Yatao Bian Regina Barzilay Tommi Jaakkola Andreas Krause 13 148 0 15 Nov 2021
Casting graph isomorphism as a point set registration problem using a simplex embedding and sampling Yigit Oktar 3DPC 11 1 0 15 Nov 2021
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs Hesham Mostafa GNN 43 21 0 11 Nov 2021
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation Atefeh Sohrabizadeh Yuze Chi Jason Cong GNN 21 1 0 10 Nov 2021
A Relational Model for One-Shot Classification Arturs Polis Alexander Ilin BDL VLM 11 1 0 08 Nov 2021
Graph Communal Contrastive Learning Bolian Li Baoyu Jing Hanghang Tong 19 57 0 28 Oct 2021
Contrastive Learning for Neural Topic Model Thong Nguyen A. Luu 14 55 0 25 Oct 2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification Baoquan Zhang Shanshan Feng Xutao Li Yunming Ye Rui Ye 8 39 0 09 Oct 2021
Matching Models for Graph Retrieval Chitrank Gupta Yash Jain 13 0 0 03 Oct 2021
Deep Relational Metric Learning Wenzhao Zheng Borui Zhang Jiwen Lu Jie Zhou 11 43 0 23 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 19 26 0 11 Aug 2021
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More Johannes Klicpera Marten Lienen Stephan Günnemann OT 15 13 0 14 Jul 2021
Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning Maximilian Hoffmann Ralph Bergmann 13 4 0 30 Jun 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric P. Xing Xiaodan Liang 14 86 0 17 Jun 2021
pix2rule: End-to-end Neuro-symbolic Rule Learning Nuri Cingillioglu A. Russo NAI 21 9 0 14 Jun 2021
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs Runzhong Wang Zhigang Hua Gan Liu Jiayi Zhang Junchi Yan Feng Qi Shuang Yang Jun Zhou Xiaokang Yang 16 41 0 09 Jun 2021
On Local Aggregation in Heterophilic Graphs Hesham Mostafa Marcel Nassar Somdeb Majumdar 10 4 0 06 Jun 2021
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs Willis Hoke D. Shea S. Casey AI4CE 14 0 0 26 May 2021
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks Ruchi Puri David S. Kung G. Janssen Wei Zhang Giacomo Domeniconi ... Saurabh Pujar Shyam Ramji Ulrich Finkler Susan Malaika Frederick Reiss 16 224 0 25 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs Christopher Morris Matthias Fey Nils M. Kriege GNN 26 23 0 12 May 2021
Neural Graph Matching based Collaborative Filtering Yixin Su Rui Zhang S. Erfani Junhao Gan 12 46 0 10 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng Xu Chen Jiangchao Yao Hongxia Yang Chunyuan Li Ya-Qin Zhang Hao Zhang Ivor Tsang Jingren Zhou Mingyuan Zhou SSL 34 12 0 08 May 2021
Learning Multi-Attention Context Graph for Group-Based Re-Identification Yichao Yan Jie Qin Bingbing Ni Jiaxin Chen Li Liu Fan Zhu Weishi Zheng Xiaokang Yang Ling Shao 26 42 0 29 Apr 2021
DeepHunter: A Graph Neural Network Based Approach for Robust Cyber Threat Hunting Renzheng Wei Lijun Cai Aimin Yu Dan Meng 14 31 0 20 Apr 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning Ning Liu Songlei Jian Dongsheng Li Yiming Zhang Zhiquan Lai Hongzuo Xu 18 30 0 13 Apr 2021
Medical Entity Disambiguation Using Graph Neural Networks Alina Vretinaris Chuan Lei Vasilis Efthymiou X. Qin Fatma Özcan 8 36 0 03 Apr 2021
Less is More: Accelerating Faster Neural Networks Straight from JPEG Samuel Felipe dos Santos Davide Modolo 14 12 0 01 Apr 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 19 7 0 31 Mar 2021
Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining Xin Mao Wenting Wang Yuanbin Wu Man Lan 11 108 0 29 Mar 2021
Embedding API Dependency Graph for Neural Code Generation Chen Lyu Ruyun Wang Hongyu Zhang Hanwen Zhang Songlin Hu GNN 21 20 0 29 Mar 2021
Knowledge-aware Contrastive Molecular Graph Learning Yin Fang Haihong Yang Zhuang Xiang Xin Shao Xiaohui Fan Huajun Chen 14 19 0 24 Mar 2021
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation Nan Pu Wei-Neng Chen Yu Liu E. Bakker M. Lew CLL 11 82 0 23 Mar 2021
Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling R. Kopparti Tillman Weyde 13 0 0 10 Mar 2021