Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

22 January 2018

Xiao-Ming Wu

Papers citing "Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning"

50 / 1,098 papers shown

Title
Graph-Based Social Relation Reasoning Wanhua Li Yueqi Duan Jiwen Lu Jianjiang Feng Jie Zhou NAI 73 44 0 15 Jul 2020
A Graph-based Interactive Reasoning for Human-Object Interaction Detection Dongming Yang Yuexian Zou 44 27 0 14 Jul 2020
Attentive Graph Neural Networks for Few-Shot Learning Hao Cheng Qiufeng Wang Wee Peng Tay Bihan Wen 41 13 0 14 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 144 497 0 05 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 192 1,511 0 04 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 70 30 0 03 Jul 2020
Adaptive Graph Encoder for Attributed Graph Embedding Ganqu Cui Jie Zhou Cheng Yang Zhiyuan Liu 166 226 0 03 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski Johannes Klicpera Bryan Perozzi Amol Kapoor Martin J. Blais Benedek Rozemberczki Michal Lukasik Stephan Günnemann GNN 173 377 0 03 Jul 2020
SCE: Scalable Network Embedding from Sparsest Cut Shengzhong Zhang Zengfeng Huang Haicang Zhou Ziang Zhou SSL BDL 83 18 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
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 90 279 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
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
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 117 420 0 21 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 232 15 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 82 178 0 17 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 136 440 0 16 Jun 2020
Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs Martin Schmitt Leonardo F. R. Ribeiro Philipp Dufter Iryna Gurevych Hinrich Schütze GNN 50 8 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 66 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 135 32 0 15 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 303 751 0 14 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 123 166 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 277 443 0 13 Jun 2020
Understanding and Resolving Performance Degradation in Graph Convolutional Networks Kuangqi Zhou Yanfei Dong Kaixin Wang W. Lee Bryan Hooi Huan Xu Jiashi Feng GNN BDL 133 94 0 12 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Helen Zhou 144 205 0 12 Jun 2020
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks Katsuhiko Ishiguro Kenta Oono K. Hayashi GNN 54 4 0 12 Jun 2020
G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning Jiawei Zhang 36 2 0 11 Jun 2020
Interferometric Graph Transform: a Deep Unsupervised Graph Representation Edouard Oyallon 110 6 0 10 Jun 2020
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning Xiaoshui Huang Fujin Zhu Lois Holloway Ali Haidar CML 43 10 0 09 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 210 696 0 09 Jun 2020
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives Guoji Fu Buse Giledereli Jian Zhang Kaili Ma Barakeel Fanseu Kamhoua James Cheng 56 18 0 08 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs Ziwei Zhang Peng Cui J. Pei Xin Eric Wang Wenwu Zhu GNN 84 33 0 08 Jun 2020
Unsupervised Differentiable Multi-aspect Network Embedding Chanyoung Park Carl Yang Qi Zhu Donghyun Kim Hwanjo Yu Jiawei Han 23 31 0 07 Jun 2020
Single-Layer Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Junxiong Zhu Yanghua Li Peng He Wen-yuan Gao Wenjun Xu GNN 28 1 0 07 Jun 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling Arman Hasanzadeh Ehsan Hajiramezanali Shahin Boluki Mingyuan Zhou N. Duffield Krishna R. Narayanan Xiaoning Qian BDL 91 118 0 07 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 68 9 0 06 Jun 2020
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding Zhiping Xiao Weiping Song Haoyan Xu Zhicheng Ren Yizhou Sun 80 74 0 02 Jun 2020
Towards Feature-free TSP Solver Selection: A Deep Learning Approach Kangfei Zhao Shengcai Liu Yu Rong Jianwei Yu 71 2 0 01 Jun 2020
Understanding the Message Passing in Graph Neural Networks via Power Iteration Clustering Xue Li Yuanzhi Cheng GNN 66 9 0 30 May 2020
Non-Local Graph Neural Networks Meng Liu Zhengyang Wang Shuiwang Ji 135 167 0 29 May 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach Le Wu Yonghui Yang Kun Zhang Richang Hong Yanjie Fu Meng Wang GNN 58 104 0 25 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 155 397 0 22 May 2020
Graphs, Entities, and Step Mixture Kyuyong Shin Wonyoung Shin Jung-Woo Ha Sunyoung Kwon 40 1 0 18 May 2020
A Semi-Supervised Assessor of Neural Architectures Yehui Tang Yunhe Wang Yixing Xu Hanting Chen Chunjing Xu Boxin Shi Chao Xu Qi Tian Chang Xu 73 67 0 14 May 2020
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction Jiexia Ye Juanjuan Zhao Kejiang Ye Chengzhong Xu AIFin AI4TS 97 53 0 11 May 2020
Geometric graphs from data to aid classification tasks with graph convolutional networks Yifan Qian P. Expert P. Panzarasa Mauricio Barahona GNN 59 9 0 08 May 2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack Ao Liu Beibei Li Tao Li Pan Zhou Rui Wang AAML 106 0 0 06 May 2020
Deep Constraint-based Propagation in Graph Neural Networks Matteo Tiezzi G. Marra S. Melacci Marco Maggini AI4CE GNN 73 13 0 05 May 2020
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering Shaowen Peng Tsunenori Mine 56 8 0 30 Apr 2020