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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,533 papers shown

Title
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang Liang Wang GNN 86 222 0 12 Oct 2019
Link Prediction via Graph Attention Network Weiwei Gu Fei Gao Xiaodan Lou Jiang Zhang GNN HAI 57 14 0 10 Oct 2019
On the Interpretability and Evaluation of Graph Representation Learning Antonia Gogoglou C. Bayan Bruss Keegan E. Hines 48 7 0 07 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 135 168 0 07 Oct 2019
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs Josh Payne GNN 131 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 110 106 0 06 Oct 2019
Text Level Graph Neural Network for Text Classification Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 114 263 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 79 193 0 05 Oct 2019
Dynamic Joint Variational Graph Autoencoders Sedigheh Mahdavi Shima Khoshraftar Aijun An BDL 54 24 0 04 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 52 27 0 04 Oct 2019
Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection Thomas Magelinski David M. Beskow Kathleen M. Carley 83 29 0 02 Oct 2019
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks Guillaume Salha-Galvan Romain Hennequin Michalis Vazirgiannis GNN BDL 102 51 0 02 Oct 2019
Graph Generation with Variational Recurrent Neural Network Shih-Yang Su Shunwei Lei Greg Mori GAN GNN 110 17 0 02 Oct 2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction Ling Cai Bo Yan Gengchen Mai K. Janowicz Rui Zhu GNN 66 77 0 01 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 115 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 70 37 0 29 Sep 2019
GDP: Generalized Device Placement for Dataflow Graphs Yanqi Zhou Sudip Roy AmirAli Abdolrashidi Daniel Wong Peter C. Ma ... Ming Zhong Hanxiao Liu Anna Goldie Azalia Mirhoseini James Laudon GNN 77 39 0 28 Sep 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 290 869 0 28 Sep 2019
Learning Category Correlations for Multi-label Image Recognition with Graph Networks Qing Li Xiaojiang Peng Yu Qiao Qiang Peng 49 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 38 0 0 26 Sep 2019
Quantum Graph Neural Networks Guillaume Verdon Trevor McCourt Enxhell Luzhnica Vikas Singh Stefan Leichenauer Jack Hidary GNN 87 107 0 26 Sep 2019
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 121 513 0 26 Sep 2019
Overlapping Community Detection with Graph Neural Networks Oleksandr Shchur Stephan Günnemann GNN 80 133 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 89 148 0 26 Sep 2019
Universal Graph Transformer Self-Attention Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung ViT 110 68 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 92 62 0 25 Sep 2019
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions Boris Knyazev Carolyn Augusta Graham W. Taylor 83 31 0 23 Sep 2019
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning Saurabh Verma Zhi-Li Zhang FedML GNN SSL 69 9 0 22 Sep 2019
Spatial Graph Convolutional Networks Tomasz Danel Przemysław Spurek Jacek Tabor Marek Śmieja Lukasz Struski Agnieszka Słowik Lukasz Maziarka GNN 93 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 222 142 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 70 207 0 09 Sep 2019
A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks D. Bacciu Luigi Di Sotto GNN 140 27 0 07 Sep 2019
Graph Convolutional Networks for Temporal Action Localization Runhao Zeng Wenbing Huang Mingkui Tan Yu Rong P. Zhao Junzhou Huang Chuang Gan GNN 108 481 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 105 1,119 0 07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Helen Zhou GNN 128 187 0 07 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 133 6 0 06 Sep 2019
Adaptive Graph Representation Learning for Video Person Re-identification Yiming Wu Omar Elfarouk Bourahla Xi Li Leilei Gan Q. Tian Xue Zhou 91 121 0 05 Sep 2019
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning Lifeng Fan Wenguan Wang Siyuan Huang Xinyu Tang Song-Chun Zhu 92 110 0 04 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 115 94 0 04 Sep 2019
Context-Aware Graph Attention Networks Bo Jiang Leiling Wang Jin Tang Bin Luo GNN 27 4 0 04 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 312 763 0 03 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 117 174 0 03 Sep 2019
Graph Representation Learning: A Survey Fenxiao Chen Yun Cheng Wang Bin Wang C.-C. Jay Kuo GNN AI4TS 75 208 0 03 Sep 2019
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Shengwen Liang Ying Wang Cheng Liu Lei He Huawei Li Xiaowei Li GNN 91 136 0 31 Aug 2019
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning Chenrui Zhang Xiaoqing Lyu Zhi Tang 68 30 0 30 Aug 2019
Initialization for Network Embedding: A Graph Partition Approach Wenqing Lin Feng He Faqiang Zhang Xu Cheng Hongyun Cai GNN 74 22 0 28 Aug 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 73 27 0 28 Aug 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 76 187 0 26 Aug 2019
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 75 38 0 22 Aug 2019
Spam Review Detection with Graph Convolutional Networks Ao Li Zhou Qin Runshi Liu Yiqun Yang Dong Li GNN 69 249 0 22 Aug 2019