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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
Navigating the Dynamics of Financial Embeddings over Time Antonia Gogoglou Brian Nguyen A. Salimov Jonathan Rider C. Bayan Bruss AI4TS AIFin 56 5 0 01 Jul 2020
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification Pushpak Pati Guillaume Jaume Lauren Alisha Fernandes A. Foncubierta Florinda Feroce ... G. Botti O. Goksel Jean-Philippe Thiran Maria Frucci M. Gabrani 100 69 0 01 Jul 2020
A Novel Higher-order Weisfeiler-Lehman Graph Convolution C. Damke Vitali M. Melnikov Eyke Hüllermeier GNN 63 14 0 01 Jul 2020
Enhancing the Association in Multi-Object Tracking via Neighbor Graph Tianyi Liang L. Lan Zhigang Luo VOT 81 17 0 01 Jul 2020
Cross-Scale Internal Graph Neural Network for Image Super-Resolution Shangchen Zhou Jiawei Zhang W. Zuo Chen Change Loy SupR 91 218 0 30 Jun 2020
Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks Xianfeng Tang Huaxiu Yao Yiwei Sun Yiqi Wang Jiliang Tang Charu C. Aggarwal P. Mitra Suhang Wang 63 2 0 28 Jun 2020
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters Wenhui Yu Zheng Qin GNN 91 95 0 28 Jun 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 182 567 0 27 Jun 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Helen Zhou 138 93 0 26 Jun 2020
Space-Time Correspondence as a Contrastive Random Walk Allan Jabri Andrew Owens Alexei A. Efros SSL OT 157 304 0 25 Jun 2020
Graph Structural-topic Neural Network Qingqing Long Yilun Jin Guojie Song Yi Li Wei Lin 57 47 0 25 Jun 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen Jinjun Xiong MLT AI4CE 120 34 0 25 Jun 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks Weilin Cong R. Forsati M. Kandemir M. Mahdavi 101 88 0 24 Jun 2020
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 90 279 0 23 Jun 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 87 6 0 23 Jun 2020
Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning Hande Dong Zhaolin Ding Xiangnan He Fuli Feng Shuxian Bi OOD GNN BDL 23 3 0 23 Jun 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 61 167 0 23 Jun 2020
Connecting Graph Convolutional Networks and Graph-Regularized PCA Lingxiao Zhao Leman Akoglu GNN 37 5 0 22 Jun 2020
Graph Neural Networks for Node-Level Predictions Christoph Heindl GNN AI4CE 36 1 0 22 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola Cesare Alippi GNN 181 156 0 22 Jun 2020
A Self-Attention Network based Node Embedding Model Dai Quoc Nguyen T. Nguyen Dinh Q. Phung 52 10 0 22 Jun 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 132 420 0 21 Jun 2020
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 96 174 0 21 Jun 2020
TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning Yecheng Lyu Ming Li Xinming Huang Ulkuhan Guler Patrick Schaumont Ziming Zhang GNN 54 10 0 21 Jun 2020
Predicting Temporal Sets with Deep Neural Networks Le Yu Leilei Sun Bowen Du Chuanren Liu Hui Xiong Weifeng Lv 89 45 0 20 Jun 2020
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs Jiong Zhu Yujun Yan Lingxiao Zhao Mark Heimann Leman Akoglu Danai Koutra GNN 124 34 0 20 Jun 2020
Abstract Diagrammatic Reasoning with Multiplex Graph Networks Duo Wang M. Jamnik Pietro Lio 60 66 0 19 Jun 2020
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 107 221 0 19 Jun 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems Kai Wang Bryan Wilder Andrew Perrault Milind Tambe 85 29 0 18 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 123 37 0 18 Jun 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 192 662 0 18 Jun 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 150 139 0 18 Jun 2020
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Niklas Höpner Filippos Christianos Stefano V. Albrecht 93 58 0 18 Jun 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data Yu Rong Yatao Bian Tingyang Xu Wei-yang Xie Ying Wei Wenbing Huang Junzhou Huang AI4CE 154 25 0 18 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 252 15 0 18 Jun 2020
Sequential Graph Convolutional Network for Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim GNN 131 122 0 18 Jun 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction Wei Jin Hanyu Wang Haochen Liu Yiqi Wang Suhang Wang Zitao Liu Jiliang Tang SSL 84 178 0 17 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 275 963 0 17 Jun 2020
Learning What to Defer for Maximum Independent Sets SungSoo Ahn Younggyo Seo Jinwoo Shin 75 71 0 17 Jun 2020
Multipole Graph Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 251 396 0 16 Jun 2020
Visualization for Histopathology Images using Graph Convolutional Neural Networks M. Sureka Abhijeet Patil Deepak Anand A. Sethi FAtt GNN MedIm 68 36 0 16 Jun 2020
Wasserstein Embedding for Graph Learning Soheil Kolouri Navid Naderializadeh Gustavo K. Rohde Heiko Hoffmann GNN 103 89 0 16 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 138 442 0 16 Jun 2020
Relational Fusion Networks: Graph Convolutional Networks for Road Networks T. S. Jepsen Christian S. Jensen Thomas D. Nielsen GNN 79 40 0 16 Jun 2020
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals Yimin Hou Shuyue Jia Xiangmin Lun Hanrui Yang Yan Shi Yongqian Li Shu Zhang Jinglei Lv 61 118 0 16 Jun 2020
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification R. S. Srinivasa Cao Xiao Lucas Glass Justin Romberg Jimeng Sun GNN 83 28 0 15 Jun 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono Taiji Suzuki AI4CE 145 32 0 15 Jun 2020
Markov-Lipschitz Deep Learning Stan Z. Li Zelin Zhang Lirong Wu 95 16 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 229 1,650 0 15 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 117 299 0 15 Jun 2020