Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 2,278 papers shown

Title
GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang Qi Liu Zhenya Huang Hao Wang Chengqiang Lu Chuanren Liu Enhong Chen 31 68 0 05 Jun 2021
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks Liang Qu Huaisheng Zhu Ruiqi Zheng Yuhui Shi Hongzhi Yin 20 99 0 05 Jun 2021
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks Chaoyang He Emir Ceyani Keshav Balasubramanian M. Annavaram Salman Avestimehr FedML 25 50 0 04 Jun 2021
Graph Barlow Twins: A self-supervised representation learning framework for graphs Piotr Bielak Tomasz Kajdanowicz Nitesh Chawla SSL 21 135 0 04 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 40 93 0 03 Jun 2021
Privileged Graph Distillation for Cold Start Recommendation Shuai Wang Kun Zhang Le Wu Haiping Ma Richang Hong Meng Wang 12 28 0 31 May 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 60 1,025 0 30 May 2021
Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias Charanraj Thimmisetty Praveen Tiwari Didac Gil Nandini Ramanan Marjorie Sayer Viswesh Ananthakrishnan C. Coelho 34 0 0 29 May 2021
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective Likang Wu Zhi Li Hongke Zhao Qi Liu Enhong Chen 36 16 0 27 May 2021
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs Tianming Liang Yang Liu Xiaoyan Liu Hao Zhang Gaurav Sharma Maozu Guo 29 22 0 24 May 2021
Federated Graph Learning -- A Position Paper Hu Zhang T. Shen Fei Wu Mingyang Yin Hongxia Yang Chao Wu FedML 24 50 0 24 May 2021
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution Boyan Xu Hujun Yin GNN 40 9 0 21 May 2021
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning Xiao Wang Nian Liu Hui-jun Han C. Shi SSL 20 376 0 19 May 2021
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems Weijian Zheng Dali Wang Fengguang Song GNN OffRL AI4CE 20 1 0 18 May 2021
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Huixuan Chi Yuying Wang Qinfen Hao Hong Xia GNN 24 11 0 18 May 2021
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning Lu Wang Xiaofu Chang Shuang Li Yunfei Chu Hui Li Wei Zhang Xiaofeng He Le Song Jingren Zhou Hongxia Yang 24 52 0 17 May 2021
Improving Graph Neural Networks with Simple Architecture Design S. Maurya Xin Liu T. Murata 26 48 0 17 May 2021
Graph-Free Knowledge Distillation for Graph Neural Networks Xiang Deng Zhongfei Zhang 34 65 0 16 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 35 243 0 16 May 2021
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations Xiaolong Fan Maoguo Gong Yue Wu Hao Li SSL 33 4 0 14 May 2021
BertGCN: Transductive Text Classification by Combining GCN and BERT Yuxiao Lin Yuxian Meng Xiaofei Sun Qinghong Han Kun Kuang Jiwei Li Fei Wu 13 225 0 12 May 2021
Primitive Representation Learning for Scene Text Recognition Ruijie Yan Liangrui Peng Shanyu Xiao Gang Yao 29 66 0 10 May 2021
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders Irene Z Li Vanessa Yan Tianxiao Li Rihao Qu Dragomir R. Radev SSL 8 17 0 07 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 27 54 0 07 May 2021
Cascade Image Matting with Deformable Graph Refinement Zijian Yu Xuhui Li Huijuan Huang Wen Zheng Li Chen 3DH 40 14 0 06 May 2021
Scalable Graph Neural Network Training: The Case for Sampling Marco Serafini Hui Guan GNN 41 23 0 05 May 2021
Learning Feature Aggregation for Deep 3D Morphable Models Zhixiang Chen Tae-Kyun Kim 3DPC 3DH 45 24 0 05 May 2021
VersaGNN: a Versatile accelerator for Graph neural networks Feng Shi Yiqiao Jin Song-Chun Zhu GNN 58 17 0 04 May 2021
Graph Learning: A Survey Feng Xia Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 32 345 0 03 May 2021
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning Changyin Sun Lijun Sun 27 16 0 02 May 2021
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense Haoxi Zhan Xiaobing Pei AAML 27 9 0 30 Apr 2021
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification Yichao Yan Jie Qin Jiaxin Chen Li Liu Fan Zhu Ying Tai Ling Shao 25 130 0 30 Apr 2021
The Logic of Graph Neural Networks Martin Grohe AI4CE 23 88 0 29 Apr 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 39 21 0 28 Apr 2021
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion Guanglin Niu Yang Li Chengguang Tang Ruiying Geng Jian Dai Qiao Liu Hao Wang Jian Sun Fei Huang Luo Si 33 88 0 27 Apr 2021
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking Shuai Wang Penghui Wei Jiahao Zhao Wenji Mao KELM 32 0 0 27 Apr 2021
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation Kashob Kumar Roy Amit Roy A. Rahman M. A. Amin A. Ali SSL 26 10 0 27 Apr 2021
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network Amit Roy Kashob Kumar Roy A. Ali M. A. Amin A. Rahman AI4TS 56 28 0 26 Apr 2021
User Preference-aware Fake News Detection Yingtong Dou Kai Shu Congyin Xia Philip S. Yu Lichao Sun 19 247 0 25 Apr 2021
LGD-GCN: Local and Global Disentangled Graph Convolutional Networks Jingwei Guo Kaizhu Huang Xinping Yi Rui Zhang 23 5 0 24 Apr 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 49 11 0 21 Apr 2021
BADet: Boundary-Aware 3D Object Detection from Point Clouds Rui Qian Xin Lai Xirong Li 3DPC 32 63 0 21 Apr 2021
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery Saba Dadsetan David Pichler David Wilson N. Hovakimyan Jennifer Hobbs 47 6 0 20 Apr 2021
Three-Dimensional Mesh Steganography and Steganalysis: A Review Hang Zhou Weiming Zhang Kejiang Chen Wei-xiang Li Nenghai Yu 3DV 49 15 0 20 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 27 9 0 20 Apr 2021
Randomized Algorithms for Scientific Computing (RASC) A. Buluç T. Kolda Stefan M. Wild M. Anitescu Anthony Degennaro ... D. Vrabie B. Wohlberg Stephen J. Wright Chao Yang Peter Zwart AI4CE 48 10 0 19 Apr 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros FAtt 17 86 0 18 Apr 2021
Low-Rank Subspaces for Unsupervised Entity Linking Akhil Arora Alberto García-Durán Robert West 26 10 0 18 Apr 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks Danilo Numeroso D. Bacciu 29 38 0 16 Apr 2021
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks Tianjin Huang Yulong Pei Vlado Menkovski Mykola Pechenizkiy 33 32 0 16 Apr 2021