Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,504 papers shown

Title
Graph Convolutional Networks Meet with High Dimensionality Reduction Mustafa Coşkun GNN BDL 13 3 0 07 Nov 2019
Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets Meimei Liu Zhengwu Zhang David B. Dunson 27 4 0 07 Nov 2019
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs Ruochi Zhang Yuesong Zou Jian Ma GNN 27 194 0 06 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 72 951 0 06 Nov 2019
Semi-supervisedly Co-embedding Attributed Networks Zaiqiao Meng Shangsong Liang Jinyuan Fang Teng Xiao GNN DRL 37 26 0 31 Oct 2019
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks Jingwen Wang Richard J. Chen Ming Y. Lu Alexander S. Baras Faisal Mahmood MedIm 35 57 0 29 Oct 2019
G2SAT: Learning to Generate SAT Formulas Jiaxuan You Haoze Wu Clark W. Barrett R. Ramanujan J. Leskovec NAI 27 35 0 29 Oct 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 41 631 0 28 Oct 2019
Hyperbolic Graph Neural Networks Qi Liu Maximilian Nickel Douwe Kiela AI4CE GNN 45 375 0 28 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 73 687 0 28 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 21 23 0 27 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 22 80 0 25 Oct 2019
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification Xiaochen Hou Jing Huang Guangtao Wang Xiaodong He Bowen Zhou 39 54 0 24 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification Uchenna Akujuobi Qiannan Zhang Han Yufei Xiangliang Zhang GNN 24 8 0 22 Oct 2019
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification Uchenna Akujuobi Yufei Han Qiannan Zhang Xiangliang Zhang 25 16 0 22 Oct 2019
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation Xiao Sha Zhu Sun Jie Zhang 41 63 0 18 Oct 2019
Active Learning for Graph Neural Networks via Node Feature Propagation Yuexin Wu Yichong Xu Aarti Singh Yiming Yang A. Dubrawski GNN AI4CE 48 63 0 16 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 32 5 0 15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 37 169 0 15 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang Liang Wang GNN 22 217 0 12 Oct 2019
Link Prediction via Graph Attention Network Weiwei Gu Fei Gao Xiaodan Lou Jiang Zhang GNN HAI 19 14 0 10 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 56 164 0 07 Oct 2019
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs Josh Payne GNN 30 24 0 07 Oct 2019
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 38 106 0 06 Oct 2019
Text Level Graph Neural Network for Text Classification Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 47 262 0 06 Oct 2019
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction Maosen Li Siheng Chen Xu Chen Ya Zhang Yanfeng Wang D. Ebert 3DH 23 188 0 05 Oct 2019
Learning Robust Representations with Graph Denoising Policy Network Lu Wang Wenchao Yu Wei Wang Wei Cheng Wei Zhang H. Zha Xiaofeng He Haifeng Chen OOD 19 26 0 04 Oct 2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction Ling Cai Bo Yan Gengchen Mai K. Janowicz Rui Zhu GNN 22 75 0 01 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 19 27 0 01 Oct 2019
Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes Jiacheng Pan Hongyi Sun Kecheng Xu Yifei Jiang Xiangquan Xiao Jiangtao Hu Jinghao Miao 19 36 0 29 Sep 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 841 0 28 Sep 2019
Learning Category Correlations for Multi-label Image Recognition with Graph Networks Qing Li Xiaojiang Peng Yu Qiao Qiang Peng 34 22 0 28 Sep 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 29 0 0 26 Sep 2019
Quantum Graph Neural Networks Guillaume Verdon Trevor McCourt Enxhell Luzhnica Vikas Singh Stefan Leichenauer Jack Hidary GNN 23 106 0 26 Sep 2019
Overlapping Community Detection with Graph Neural Networks Oleksandr Shchur Stephan Günnemann GNN 32 129 0 26 Sep 2019
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network Sheng Wan Chen Gong P. Zhong Shirui Pan Guangyu Li Jian Yang 29 146 0 26 Sep 2019
Universal Graph Transformer Self-Attention Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung ViT 39 64 0 26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
Spatial Graph Convolutional Networks Tomasz Danel Przemysław Spurek Jacek Tabor Marek Śmieja Lukasz Struski Agnieszka Słowik Lukasz Maziarka GNN 34 10 0 11 Sep 2019
Jointly embedding the local and global relations of heterogeneous graph for rumor detection Chunyuan Yuan Qianwen Ma Wei Zhou Jizhong Han Songlin Hu 174 141 0 10 Sep 2019
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering Shangwen Lv Daya Guo Jingjing Xu Duyu Tang Nan Duan Ming Gong Linjun Shou Daxin Jiang Guihong Cao Songlin Hu RALM 22 202 0 09 Sep 2019
Graph Convolutional Networks for Temporal Action Localization Runhao Zeng Wenbing Huang Mingkui Tan Yu Rong P. Zhao Junzhou Huang Chuang Gan GNN 22 475 0 07 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 30 1,081 0 07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 63 178 0 07 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 19 6 0 06 Sep 2019
Adaptive Graph Representation Learning for Video Person Re-identification Yiming Wu Omar Elfarouk Bourahla Xi Li Fei Wu Q. Tian Xue Zhou 39 118 0 05 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 36 87 0 04 Sep 2019
Context-Aware Graph Attention Networks Bo Jiang Leiling Wang Jin Tang Bin Luo GNN 20 4 0 04 Sep 2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Yanning Zhou S. Graham Navid Alemi Koohbanani Muhammad Shaban Pheng-Ann Heng Nasir M. Rajpoot MedIm 37 173 0 03 Sep 2019
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Yuting Ye Xuwu Wang Jiangchao Yao Kunyang Jia Jingren Zhou Yanghua Xiao Hongxia Yang BDL 23 26 0 28 Aug 2019