Representation Learning on Graphs: Methods and Applications

17 September 2017

Papers citing "Representation Learning on Graphs: Methods and Applications"

50 / 314 papers shown

Title
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar Francesco Di Giovanni B. Chamberlain Pietro Lio Michael M. Bronstein 32 170 0 09 Feb 2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis 44 3 0 04 Feb 2022
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft Jiyang Zhang C. Maddila Ramakrishna Bairi Christian Bird Ujjwal Raizada Apoorva Agrawal Yamini Jhawar Kim Herzig A. van Deursen 29 8 0 04 Feb 2022
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach A. Tom Nesreen Ahmed George Karypis 22 1 0 22 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 33 144 0 19 Jan 2022
A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants Ningyuan Huang Soledad Villar 24 62 0 18 Jan 2022
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs Qiaoyu Tan Ninghao Liu Xiao Shi Huang Rui Chen Soo-Hyun Choi Xia Hu SSL 30 39 0 07 Jan 2022
Frame Shift Prediction Zheng-Xin Yong Patrick Watson Tiago Timponi Torrent Oliver Czulo Collin F. Baker 32 2 0 05 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 25 0 0 05 Jan 2022
Unsupervised Matching of Data and Text N. Ahmadi H. Sand Paolo Papotti 32 19 0 16 Dec 2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing Tianfeng Liu Yangrui Chen Dan Li Chuan Wu Yibo Zhu Jun He Size Zheng Hongzheng Chen Hongzhi Chen Chuanxiong Guo GNN 34 77 0 16 Dec 2021
Efficient Dynamic Graph Representation Learning at Scale Xinshi Chen Yan Zhu Haowen Xu Mengya Liu Liang Xiong Muhan Zhang Le Song 22 7 0 14 Dec 2021
Survey of Generative Methods for Social Media Analysis Stan Matwin Aristides Milios P. Prałat Amílcar Soares Franccois Théberge 27 3 0 13 Dec 2021
Learning Query Expansion over the Nearest Neighbor Graph Benjamin Klein Lior Wolf 27 1 0 05 Dec 2021
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks Yang Li Yuichi Tanaka 21 3 0 03 Dec 2021
Learning Large-scale Network Embedding from Representative Subgraph Junsheng Kong Weizhao Li Ben Liao J. Qiu Chang-Yu Hsieh Hsieh Yijin Cai Jin-Hui Zhu Shengyu Zhang GNN 18 1 0 02 Dec 2021
On the combination of graph data for assessing thin-file borrowers' creditworthiness Ricardo Muñoz-Cancino Cristián Bravo Sebastián A. Ríos M. Graña 26 14 0 26 Nov 2021
Community detection using low-dimensional network embedding algorithms Aman Barot S. Bhamidi Souvik Dhara 8 8 0 04 Nov 2021
Dist2Cycle: A Simplicial Neural Network for Homology Localization A. Keros Vidit Nanda Kartic Subr 19 28 0 28 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 23 19 0 28 Oct 2021
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks Pengyong Li Jun Wang Ziliang Li Yixuan Qiao Xianggen Liu Fei Ma Peng Gao Sen Song Guowang Xie SSL 31 16 0 26 Oct 2021
Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities Chao Fan Mengke Zhang Ali Mostafavi AI4CE 26 13 0 24 Oct 2021
A Broader Picture of Random-walk Based Graph Embedding Zexi Huang A. Silva Ambuj K. Singh 18 49 0 24 Oct 2021
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection Van-Anh Nguyen Dai Quoc Nguyen Van Nguyen Trung Le Quan Hung Tran Dinh Q. Phung 31 109 0 14 Oct 2021
Scalable Graph Embedding LearningOn A Single GPU Azita Nouri Philip E. Davis P. Subedi M. Parashar GNN 36 1 0 13 Oct 2021
Graph-Based Machine Learning Improves Just-in-Time Defect Prediction Jonathan Bryan Pablo Moriano 13 7 0 11 Oct 2021
Stable Prediction on Graphs with Agnostic Distribution Shift Shengyu Zhang Kun Kuang J. Qiu Jin Yu Zhou Zhao Hongxia Yang Zhongfei Zhang Fei Wu OOD 39 8 0 08 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun Xia Lirong Wu Ge Wang Jintao Chen Stan Z. Li 25 120 0 05 Oct 2021
An energy-based model for neuro-symbolic reasoning on knowledge graphs Dominik Dold J. Garrido AI4CE 30 8 0 04 Oct 2021
Grouping Search Results with Product Graphs in E-commerce Platforms Suhas Ranganath Shibsankar Das Sanjay Thilaivasan Shipra Agarwal Varun Shrivastava 22 0 0 20 Sep 2021
PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery Yasmin Salehi D. Giannacopoulos AI4CE 21 27 0 09 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning Baoyu Jing Shengyu Feng Yuejia Xiang Xi Chen Yu Chen Hanghang Tong 41 27 0 08 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 23 34 0 21 Aug 2021
Global Self-Attention as a Replacement for Graph Convolution Md Shamim Hussain Mohammed J Zaki D. Subramanian ViT 40 123 0 07 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 35 11 0 03 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 46 18 0 21 Jul 2021
Graph Representation Learning for Road Type Classification Zahra Gharaee S. Kowshik Oliver Stromann M. Felsberg GNN 19 30 0 16 Jul 2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs Hejie Cui Zijie Lu Pan Li Carl Yang 15 80 0 03 Jul 2021
Combinatorial Optimization with Physics-Inspired Graph Neural Networks M. Schuetz J. K. Brubaker H. Katzgraber AI4CE 31 179 0 02 Jul 2021
Edge Proposal Sets for Link Prediction Abhay Singh Qian Huang Sijia Huang Omkar Bhalerao Horace He Ser-Nam Lim Austin R. Benson 11 16 0 30 Jun 2021
Explaining the Performance of Multi-label Classification Methods with Data Set Properties Jasmin Bogatinovski L. Todorovski S. Džeroski D. Kocev 16 6 0 28 Jun 2021
A Behavior-aware Graph Convolution Network Model for Video Recommendation Wei Zhuo Kunchi Liu Taofeng Xue Beihong Jin Beibei Li Xinzhou Dong He Chen Wenhai Pan Xuejian Zhang Shuo Zhou GNN 19 2 0 27 Jun 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 33 39 0 22 Jun 2021
Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery Peiyuan Gao Xiu Yang Yu Tang Muqing Zheng Amity Anderson V. Murugesan Aaron Hollas Wei Wang 11 7 0 15 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Jia Wu Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 43 538 0 14 Jun 2021
Multiple Kernel Representation Learning on Networks Abdulkadir Çelikkanat Yanning Shen Fragkiskos D. Malliaros 13 5 0 09 Jun 2021
Motif Prediction with Graph Neural Networks Maciej Besta Raphael Grob Cesare Miglioli Nico Bernold Grzegorz Kwa'sniewski ... Raghavendra Kanakagiri Saleh Ashkboos Lukas Gianinazzi Nikoli Dryden Torsten Hoefler 26 37 0 26 May 2021
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network Alaa Bessadok Mohamed Ali Mahjoub I. Rekik MedIm AI4CE 18 16 0 06 May 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 47 11 0 21 Apr 2021