Representation Learning on Graphs: Methods and Applications

17 September 2017

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

50 / 269 papers shown

Title
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 16 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 18 14 0 26 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 23 16 0 26 Oct 2021
Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities Chao Fan Mengke Zhang Ali Mostafavi AI4CE 18 13 0 24 Oct 2021
A Broader Picture of Random-walk Based Graph Embedding Zexi Huang A. Silva Ambuj K. Singh 13 49 0 24 Oct 2021
Scalable Graph Embedding LearningOn A Single GPU Azita Nouri Philip E. Davis P. Subedi M. Parashar GNN 28 1 0 13 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-Xiong 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 16 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 29 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 21 33 0 21 Aug 2021
Global Self-Attention as a Replacement for Graph Convolution Md Shamim Hussain Mohammed J. Zaki D. Subramanian ViT 37 122 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 30 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 38 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 20 177 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 9 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 30 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 31 538 0 14 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 24 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 44 11 0 21 Apr 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 24 118 0 23 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 22 28 0 07 Mar 2021
Simplicial Complex Representation Learning Mustafa Hajij Ghada Zamzmi Theodore Papamarkou Vasileios Maroulas X. Cai 27 18 0 06 Mar 2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN 10 67 0 04 Mar 2021
Graph-Time Convolutional Neural Networks Elvin Isufi Gabriele Mazzola GNN AI4TS 24 14 0 02 Mar 2021
Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories Claudio Mura R. Pajarola Konrad Schindler Niloy Mitra 3DV 19 10 0 27 Feb 2021
Persistent Homology and Graphs Representation Learning Mustafa Hajij Ghaza Zamzmi X. Cai 35 5 0 25 Feb 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective Stephen Bonner Ian P Barrett Cheng Ye Rowan Swiers O. Engkvist A. Bender Charles Tapley Hoyt William L. Hamilton 29 94 0 19 Feb 2021
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice Hugo Latapie Özkan Kiliç Gaowen Liu Yan Yan Ramana Rao Kompella Pei Wang K. Thórisson Adam Lawrence Yuhong Sun Jayanth Srinivasa AI4CE 20 9 0 11 Feb 2021
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields Zun Wang Chong Wang Sibo Zhao Shiqiao Du Yong Xu B. Gu W. Duan AI4CE 27 14 0 08 Jan 2021
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure Islam Akef Ebeid Majdi Hassan Tingyi Wanyan Jack Roper Abhik Seal Ying Ding 11 5 0 18 Dec 2020
Deep Layout of Custom-size Furniture through Multiple-domain Learning Xinhan Di Pengqian Yu Danfeng Yang Hong Zhu Changyu Sun YinDong Liu 3DV 3DPC 28 0 0 15 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 72 110 0 10 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 24 36 0 09 Dec 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
Graph Kernels: State-of-the-Art and Future Challenges Karsten M. Borgwardt Elisabetta Ghisu Felipe Llinares-López Leslie O’Bray Bastian Alexander Rieck AI4TS 31 101 0 07 Nov 2020
Massively Parallel Graph Drawing and Representation Learning Christian Böhm Claudia Plant GNN 4 2 0 06 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 18 13 0 05 Nov 2020