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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
GIKT: A Graph-based Interaction Model for Knowledge Tracing Yang Yang Jian Shen Yanru Qu Yunfei Liu Kerong Wang Yaoming Zhu Weinan Zhang Yong Yu AI4Ed 49 139 0 13 Sep 2020
Contrastive Self-supervised Learning for Graph Classification Jiaqi Zeng P. Xie SSL 122 156 0 13 Sep 2020
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing Zhidong Gao Rui Hu Yanmin Gong AAML OOD 60 16 0 12 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 135 120 0 11 Sep 2020
CasGCN: Predicting future cascade growth based on information diffusion graph Zhixuan Xu Minghui Qian Xiaowei Huang Jie Meng GNN 45 16 0 10 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 96 50 0 08 Sep 2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations Sebastian Mežnar Nada Lavrac Blaž Škrlj 101 5 0 08 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 153 807 0 08 Sep 2020
Adversarial Attack on Large Scale Graph Jintang Li Tao Xie Liang Chen Fenfang Xie Xiangnan He Zibin Zheng AAML 94 67 0 08 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 112 167 0 07 Sep 2020
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks Zifeng Wang Rui Wen Xi Chen Shilei Cao Shao-Lun Huang B. Qian Yefeng Zheng 84 31 0 06 Sep 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing Ziwei Zhang Chenhao Niu Peng Cui Jian Pei Bo Zhang Wenwu Zhu 72 2 0 05 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 89 74 0 04 Sep 2020
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Shu Wu Liang Wang SSL GNN 71 29 0 03 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation Qinghui Liu Michael C. Kampffmeyer Robert Jenssen Arnt-Børre Salberg GNN SSeg 77 10 0 03 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 143 248 0 03 Sep 2020
Mutual Teaching for Graph Convolutional Networks Kun Zhan Chaoxi Niu SSL 57 32 0 02 Sep 2020
SAIL: Self-Augmented Graph Contrastive Learning Lu Yu Shichao Pei Lizhong Ding Jun Zhou Longfei Li Chuxu Zhang Xiangliang Zhang SSL 84 41 0 02 Sep 2020
Architectural Implications of Graph Neural Networks Zhihui Zhang Jingwen Leng Lingxiao Ma Youshan Miao Chao Li Minyi Guo GNN AI4CE 64 40 0 02 Sep 2020
Lifelong Graph Learning Chen Wang Yuheng Qiu Dasong Gao Sebastian Scherer CLL GNN AI4CE 111 51 0 01 Sep 2020
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function Binghui Wang Tianxiang Zhou Min Lin Pan Zhou Ang Li Meng Pang H. Li Yiran Chen AAML 164 20 0 01 Sep 2020
Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering Jiahao Yu Zihao Zhu Yujing Wang Weifeng Zhang Yue Hu Jianlong Tan 86 100 0 31 Aug 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 101 12 0 31 Aug 2020
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks Qingyun Sun Hao Peng Jianxin Li Senzhang Wang Xiangyu Dong Liangxuan Zhao Philip S. Yu Lifang He 104 21 0 30 Aug 2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis Ashley Ge Zhang Michael Merrill Yang Liu Jeffrey Heer Tim Althoff ViT 65 13 0 28 Aug 2020
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization T. Do Duc Minh Nguyen Giannis Bekoulis Adrian Munteanu Nikos Deligiannis 62 38 0 28 Aug 2020
DVE: Dynamic Variational Embeddings with Applications in Recommender Systems Meimei Liu Hongxia Yang AI4TS 27 0 0 27 Aug 2020
Simplifying Architecture Search for Graph Neural Network Huan Zhao Lanning Wei Quanming Yao GNN AI4CE 80 53 0 26 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 190 5 0 26 Aug 2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems Yuwei Hu Zihao Ye Minjie Wang Jiali Yu Da Zheng Mu Li Zheng Zhang Zhiru Zhang Yida Wang GNN 116 81 0 26 Aug 2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems Yishi Xu Yingxue Zhang Wei Guo Huifeng Guo Ruiming Tang Mark Coates CLL 92 82 0 25 Aug 2020
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach Léo Pio-Lopez Alberto Valdeolivas Laurent Tichit Élisabeth Remy A. Baudot 69 41 0 23 Aug 2020
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning Ziyue Qiao Pengyang Wang Yanjie Fu Yi Du P. Wang Yuanchun Zhou 59 18 0 23 Aug 2020
A comparative study of similarity-based and GNN-based link prediction approaches K. Islam Sabeur Aridhi Malika Smaïl-Tabbone 44 10 0 20 Aug 2020
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 74 10 0 20 Aug 2020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters Yingtong Dou Zhiwei Liu Li Sun Yutong Deng Hao Peng Philip S. Yu AAML 135 483 0 19 Aug 2020
Training Sensitivity in Graph Isomorphism Network Md. Khaledur Rahman GNN 42 4 0 19 Aug 2020
Relational Reflection Entity Alignment Xin Mao Wenting Wang Huimin Xu Yuanbin Wu Man Lan 82 133 0 18 Aug 2020
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation Van-Hoang Nguyen Kazunari Sugiyama Preslav Nakov Min-Yen Kan GNN FedML 91 287 0 18 Aug 2020
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction Tsun-Hsuan Wang S. Manivasagam Ming Liang Binh Yang Wenyuan Zeng James Tu R. Urtasun 78 403 0 17 Aug 2020
Graph-based Modeling of Online Communities for Fake News Detection Shantanu Chandra Pushkar Mishra H. Yannakoudakis Madhav Nimishakavi Marzieh Saeidi Ekaterina Shutova GNN 129 45 0 14 Aug 2020
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection Ye Liu Junsong Yuan Chang Wen Chen 271 83 0 14 Aug 2020
Quaternion Graph Neural Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung GNN 81 34 0 12 Aug 2020
Degree-Quant: Quantization-Aware Training for Graph Neural Networks Shyam A. Tailor Javier Fernandez-Marques Nicholas D. Lane GNN MQ 82 145 0 11 Aug 2020
Multivariate Relations Aggregation Learning in Social Networks Jin Xu Shuo Yu Keyi Sun Jing Ren I. Lee Shirui Pan Xiwei Xu 44 39 0 09 Aug 2020
Zero-Shot Multi-View Indoor Localization via Graph Location Networks Meng-Jiun Chiou Zhenguang Liu Yifang Yin Anan Liu Roger Zimmermann 64 27 0 06 Aug 2020
Pose-based Modular Network for Human-Object Interaction Detection Zhijun Liang Junfa Liu Y. Guan Juan Rojas 133 15 0 05 Aug 2020
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network Haotian Li Huan Wei Yong Wang Yangqiu Song Huamin Qu AI4Ed 162 32 0 04 Aug 2020
A Learned Performance Model for Tensor Processing Units Samuel J. Kaufman P. Phothilimthana Yanqi Zhou Charith Mendis Sudip Roy Amit Sabne Mike Burrows 76 8 0 03 Aug 2020
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs Dominik Alfke Martin Stoll GNN 50 5 0 03 Aug 2020