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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,534 papers shown

Title
Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute Tiphaine Viard Thomas McLachlan Hamidreza Ghader Satoshi Sekine 22 2 0 21 Jan 2020
Siamese Graph Neural Networks for Data Integration E. Krivosheev Mattia Atzeni Katsiaryna Mirylenka P. Scotton Fabio Casati GNN 50 13 0 17 Jan 2020
GraphBGS: Background Subtraction via Recovery of Graph Signals Jhony H. Giraldo T. Bouwmans 114 25 0 17 Jan 2020
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks Tian Bian Xi Xiao Tingyang Xu P. Zhao Wenbing Huang Yu Rong Junzhou Huang GNN 90 606 0 17 Jan 2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Q. Huang M. Yamada Yuan Tian Dinesh Singh D. Yin Yi-Ju Chang FAtt 104 362 0 17 Jan 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better Pushkar Mishra Aleksandra Piktus Gerard Goossen Fabrizio Silvestri AI4CE 76 14 0 17 Jan 2020
Graph Inference Learning for Semi-supervised Classification Chunyan Xu Zhen Cui Xiaobin Hong Tong Zhang Jian Yang Wei Liu 70 30 0 17 Jan 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations Jiawei Zhang Haopeng Zhang Congying Xia Li Sun 111 308 0 15 Jan 2020
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network Zhiwei Liu Mengting Wan Stephen D. Guo Kannan Achan Philip S. Yu 102 68 0 14 Jan 2020
Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation Di You Nguyen Vo Kyumin Lee Qiang Liu HAI GNN KELM 62 22 0 07 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 113 296 0 07 Jan 2020
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats Xueyuan Han Thomas Pasquier Adam Bates James W. Mickens Margo Seltzer 116 289 0 06 Jan 2020
Retrosynthesis Prediction with Conditional Graph Logic Network H. Dai Chengtao Li Connor W. Coley Bo Dai Le Song 99 183 0 06 Jan 2020
Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks Zhiyong Dou Haotian Cui Lin Zhang Bo Wang DiffM GNN 61 6 0 05 Jan 2020
Automated Relational Meta-learning Huaxiu Yao Xian Wu Zhiqiang Tao Yaliang Li Bolin Ding Ruirui Li Z. Li 102 90 0 03 Jan 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications Ljubisa Stankovic Danilo P. Mandic M. Daković M. Brajović Bruno Scalzo Shengxi Li A. Constantinides 93 23 0 02 Jan 2020
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction Aravind Sankar Xinyang Zhang A. Krishnan Jiawei Han GNN 74 83 0 01 Jan 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms Hanqing Zeng Viktor Prasanna GNN 72 130 0 31 Dec 2019
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 137 281 0 29 Dec 2019
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Josh Payne A. Kundu FedML 51 10 0 27 Dec 2019
Predicting Attributes of Nodes Using Network Structure Sarwan Ali M. Shakeel Imdadullah Khan S. Faizullah Muhammad Asad Khan GNN 97 31 0 27 Dec 2019
Characterizing and Detecting Money Laundering Activities on the Bitcoin Network Yining Hu Suranga Seneviratne Kanchana Thilakarathna K. Fukuda Aruna Seneviratne 65 53 0 27 Dec 2019
Neural Subgraph Isomorphism Counting Xin Liu Haojie Pan Mutian He Yangqiu Song Xin Jiang Lifeng Shang GNN 84 79 0 25 Dec 2019
Multi-Graph Transformer for Free-Hand Sketch Recognition Peng Xu Chaitanya K. Joshi Xavier Bresson ViT 115 88 0 24 Dec 2019
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport Tengfei Ma Jie Chen 71 25 0 24 Dec 2019
How Robust Are Graph Neural Networks to Structural Noise? James Fox S. Rajamanickam NoLa OOD 78 22 0 21 Dec 2019
A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica Marco Podda D. Bacciu Alessio Micheli FaML 182 450 0 20 Dec 2019
Community detection in node-attributed social networks: a survey Petr Chunaev 83 238 0 20 Dec 2019
An Attention-based Graph Neural Network for Heterogeneous Structural Learning Huiting Hong Hantao Guo Yucheng Lin Xiaoqing Yang Zang Li Jieping Ye 88 219 0 19 Dec 2019
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis Richard J. Chen Ming Y. Lu Jingwen Wang Drew F. K. Williamson S. Rodig N. Lindeman Faisal Mahmood 114 416 0 18 Dec 2019
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks Lei Shi Yifan Zhang Jian Cheng Hanqing Lu 86 432 0 15 Dec 2019
Coloring graph neural networks for node disambiguation George Dasoulas Ludovic Dos Santos Kevin Scaman Aladin Virmaux 95 82 0 12 Dec 2019
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks S. Bandyopadhyay Anirban Biswas Narasimha M. Murty Ramasuri Narayanam GNN 68 15 0 11 Dec 2019
Hyperbolic Graph Attention Network Yiding Zhang Tianlin Li Xunqiang Jiang C. Shi Yanfang Ye GNN 88 134 0 06 Dec 2019
Classifying Diagrams and Their Parts using Graph Neural Networks: A Comparison of Crowd-Sourced and Expert Annotations Tuomo Hiippala 48 1 0 05 Dec 2019
Gaussian Embedding of Large-scale Attributed Graphs B. Hettige Yuan-Fang Li Weiqing Wang Wray Buntine BDL 28 7 0 02 Dec 2019
Dynamic Graph Representation for Partially Occluded Biometrics Min Ren Yunlong Wang Zhenan Sun Tieniu Tan CVBM 39 2 0 01 Dec 2019
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings Han Zhang Hong Xu 26 1 0 01 Dec 2019
SGAS: Sequential Greedy Architecture Search Ge Li Guocheng Qian Itzel C. Delgadillo Matthias Muller Ali K. Thabet Guohao Li 3DPC 96 188 0 30 Nov 2019
Dual-Attention Graph Convolutional Network Xueyao Zhang Tong Zhang Wenting Zhao Zhen Cui Jian Yang GNN 46 8 0 28 Nov 2019
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting Weiqiu Chen Ling Chen Yu Xie Wei Cao Yusong Gao Xiaojie Feng AI4TS 89 298 0 27 Nov 2019
Independence Promoted Graph Disentangled Networks Yanbei Liu Tianlin Li Shu Wu Zhitao Xiao 94 97 0 26 Nov 2019
Few-Shot Knowledge Graph Completion Chuxu Zhang Huaxiu Yao Chao Huang Meng Jiang Z. Li Nitesh Chawla 56 206 0 26 Nov 2019
SWAG: Item Recommendations using Convolutions on Weighted Graphs Amit Pande Kai Ni Venkataramani Kini GNN 47 9 0 22 Nov 2019
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration Jianyu Su Peter A. Beling Rui Guo Kyungtae Han GNN 71 13 0 22 Nov 2019
Discrete and Continuous Deep Residual Learning Over Graphs Pedro H. C. Avelar Anderson R. Tavares Marco Gori Luís C. Lamb GNN 74 20 0 21 Nov 2019
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning Junjie Wang Xiangfeng Wang Bo Jin Junchi Yan Wenjie Zhang H. Zha 33 5 0 20 Nov 2019
On Node Features for Graph Neural Networks Chi Thang Duong Thanh Dat Hoang Haikun Dang Quoc Viet Hung Nguyen Karl Aberer GNN 54 46 0 20 Nov 2019
Heterogeneous Deep Graph Infomax Yuxiang Ren Bo Liu Chao Huang Peng Dai Liefeng Bo Jiawei Zhang 103 107 0 19 Nov 2019
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning Xiang Ni Jing Li Mo Yu Wang Zhou Kun-Lung Wu GNN 46 22 0 19 Nov 2019