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
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 18 10 0 31 Aug 2023
Graph Edit Distance Learning via Different Attention Jiaxi Lv L. Zhang Yi Huang Jiancheng Huang Shifeng Chen 16 1 0 26 Aug 2023
Using Adamic-Adar Index Algorithm to Predict Volunteer Collaboration: Less is More Chaochen Wu Peng Chen Baiqiao Yin Zijuan Lin Chengxi Jiang Di Yu Changhong Zou Chun-Chung Lui 17 0 0 25 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Zhengyan Mao Wei Ju Yifang Qin Xiao Luo Ming Zhang 13 16 0 04 Aug 2023
Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning Junhyun Lee Bumsoo Kim Minji Jeon Jaewoo Kang GNN 18 1 0 28 Jul 2023
A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges Morteza Zakeri-Nasrabadi Saeed Parsa Mohammad Ramezani C. Roy Masoud Ekhtiarzadeh 19 43 0 28 Jun 2023
Generalised f-Mean Aggregation for Graph Neural Networks Ryan Kortvelesy Steven D. Morad Amanda Prorok FedML AI4CE 9 4 0 24 Jun 2023
Graph Mixup with Soft Alignments Hongyi Ling Zhimeng Jiang Meng Liu Shuiwang Ji Na Zou AAML 25 21 0 11 Jun 2023
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching Xuanzhou Liu Lin Zhang Jiaqi Sun Yujiu Yang Haiqing Yang 17 2 0 10 Jun 2023
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost Jaeseung Heo Seungbeom Lee Sungsoo Ahn Dongwoo Kim 19 1 0 02 Jun 2023
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis Ali TehraniJamsaz Quazi Ishtiaque Mahmud Le Chen Nasreen K. Ahmed Ali Jannesari 12 4 0 31 May 2023
AbODE: Ab Initio Antibody Design using Conjoined ODEs Yogesh Verma Markus Heinonen Vikas K. Garg 21 18 0 31 May 2023
Shift-Robust Molecular Relational Learning with Causal Substructure Namkyeong Lee Kanghoon Yoon Gyoung S. Na Sein Kim Chanyoung Park 26 15 0 29 May 2023
GraphMoco:a Graph Momentum Contrast Model that Using Multimodel Structure Information for Large-scale Binary Function Representation Learning Runjin Sun Shize Guo Wei Li XingYu Zhang Xi Guo Zhisong Pan 17 4 0 18 May 2023
Foundations of Spatial Perception for Robotics: Hierarchical Representations and Real-time Systems Nathan Hughes Yun Chang Siyi Hu Rajat Talak Rumaisa Abdulhai Jared Strader Luca Carlone 19 47 0 11 May 2023
Graph Neural Networks and 3-Dimensional Topology Pavel Putrov Song Jin Ri 17 4 0 10 May 2023
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction Nils Loose Chun-Liang Li Hao Zhang Timothy Dozat Felix Mächtle ... Shangbang Long Siyang Qin Yasuhisa Fujii Nan Hua T. Eisenbarth SSL 40 17 0 04 May 2023
Strengthening structural baselines for graph classification using Local Topological Profile J. Adamczyk Wojciech Czech 26 3 0 01 May 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning Namkyeong Lee Dongmin Hyun Gyoung S. Na Sungwon Kim Junseok Lee Chanyoung Park 30 22 0 29 Apr 2023
SGAligner : 3D Scene Alignment with Scene Graphs S. Sarkar O. Mikšík Marc Pollefeys Dániel Baráth Iro Armeni 50 17 0 28 Apr 2023
Performance Optimization using Multimodal Modeling and Heterogeneous GNN Akashnil Dutta J. Alcaraz Ali TehraniJamsaz E. César A. Sikora Ali Jannesari 10 10 0 25 Apr 2023
Neural Multi-network Diffusion towards Social Recommendation Boxin Du Lihui Liu Jiejun Xu Fei Wang Hanghang Tong DiffM GNN 11 3 0 11 Apr 2023
Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes A. Patil Supriya Gadi Patil Manyi Li Matthew Fisher Manolis Savva Haotong Zhang 3DV 25 17 0 06 Apr 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 15 20 0 26 Mar 2023
Adversarial Attacks against Binary Similarity Systems Gianluca Capozzi Daniele Cono DÉlia Giuseppe Antonio Di Luna Leonardo Querzoni AAML 11 0 0 20 Mar 2023
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning Chihiro Noguchi Toshihiro Tanizawa SSL 11 9 0 02 Mar 2023
Learning to Count Isomorphisms with Graph Neural Networks Xingtong Yu Zemin Liu Yuan Fang Xinming Zhang GNN 27 15 0 07 Feb 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching Fang Wu Siyuan Li Xurui Jin Yinghui Jiang Dragomir R. Radev Z. Niu Stan Z. Li 22 10 0 07 Jan 2023
TIDE: Time Derivative Diffusion for Deep Learning on Graphs M. Behmanesh Maximilian Krahn M. Ovsjanikov DiffM GNN 19 9 0 05 Dec 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 8 5 0 07 Nov 2022
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 37 21 0 06 Nov 2022
Scalable Program Clone Search Through Spectral Analysis Tristan Benoit Jean-Yves Marion Sébastien Bardin 12 3 0 24 Oct 2022
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
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning Linfeng Liu Xuhong Han Dawei Zhou Liping Liu 30 5 0 19 Oct 2022
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment Shraman Pramanick Li Jing Sayan Nag Jiachen Zhu Hardik Shah Yann LeCun Ramalingam Chellappa 24 21 0 09 Oct 2022
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction Jiahan Liu Chao-chao Yan Yang Yu Chan Lu Junzhou Huang Le Ou-Yang P. Zhao 43 13 0 27 Sep 2022
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes J. Kim M. Urschler Patricia J. Riddle Jörg Simon Wicker 4 6 0 24 Sep 2022
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks H. Samoaa Antonio Longa Mazen Mohamad M. Chehreghani Philipp Leitner GNN 6 9 0 25 Aug 2022
BinBert: Binary Code Understanding with a Fine-tunable and Execution-aware Transformer Fiorella Artuso Marco Mormando Giuseppe A. Di Luna Leonardo Querzoni 11 6 0 13 Aug 2022
More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference Zixun Lan Binjie Hong Ye Ma Fei Ma 16 13 0 09 Aug 2022
Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search Yunsheng Bai Derek Xu Yizhou Sun Wei Wang GNN 19 0 0 21 Jul 2022
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network Boxin Du Changhe Yuan Fei-Yue Wang Hanghang Tong 12 1 0 19 Jun 2022
Learning Fair Representation via Distributional Contrastive Disentanglement Changdae Oh Heeji Won Junhyuk So Taero Kim Yewon Kim Hosik Choi Kyungwoo Song FaML CoGe CML DRL 16 39 0 17 Jun 2022
Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection Maksim Zubkov Egor Spirin Egor Bogomolov T. Bryksin 22 4 0 17 Jun 2022
Schema-Guided Event Graph Completion Hongwei Wang Zixuan Zhang Sha Li Jiawei Han Yizhou Sun Hanghang Tong Joseph P. Olive Heng Ji 14 5 0 06 Jun 2022
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning Di Jin Luzhi Wang Yizhen Zheng Xiang Li Fei Jiang Wei Lin Shirui Pan SSL 26 19 0 30 May 2022
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers Elias Boutros Khalil Christopher Morris Andrea Lodi AI4CE 21 48 0 27 May 2022
SeedGNN: Graph Neural Networks for Supervised Seeded Graph Matching LIREN YU Jiaming Xu Xiaojun Lin 19 2 0 26 May 2022
Entity Alignment with Reliable Path Reasoning and Relation-Aware Heterogeneous Graph Transformer Weishan Cai Wenjun Ma Jieyu Zhan Yuncheng Jiang 63 24 0 18 May 2022