Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 23 28 0 03 Jul 2020
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat-Seng Chua 26 534 0 03 Jul 2020
Adaptive Graph Encoder for Attributed Graph Embedding Ganqu Cui Jie Zhou Cheng Yang Zhiyuan Liu 14 219 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 21 367 0 03 Jul 2020
SCE: Scalable Network Embedding from Sparsest Cut Shengzhong Zhang Zengfeng Huang Haicang Zhou Ziang Zhou SSL BDL 27 18 0 30 Jun 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lió GNN 39 54 0 29 Jun 2020
Lifelong Learning of Graph Neural Networks for Open-World Node Classification Lukas Galke Benedikt Franke Tobias Zielke A. Scherp GNN AI4CE 23 36 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 33 33 0 25 Jun 2020
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 23 263 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 16 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 22 156 0 23 Jun 2020
Connecting Graph Convolutional Networks and Graph-Regularized PCA Lingxiao Zhao Leman Akoglu GNN 13 5 0 22 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 20 34 0 20 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 26 36 0 18 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 25 14 0 18 Jun 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction Wei Jin Tyler Derr Haochen Liu Yiqi Wang Suhang Wang Zitao Liu Jiliang Tang SSL 16 172 0 17 Jun 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono Taiji Suzuki AI4CE 37 31 0 15 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 34 709 0 14 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 42 161 0 14 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 42 89 0 12 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Xia Hu 33 198 0 12 Jun 2020
Wide and Deep Graph Neural Networks with Distributed Online Learning Zhan Gao Fernando Gama Alejandro Ribeiro GNN 38 10 0 11 Jun 2020
Interferometric Graph Transform: a Deep Unsupervised Graph Representation Edouard Oyallon 21 6 0 10 Jun 2020
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives Guoji Fu Yifan Hou Jian Zhang Kaili Ma Barakeel Fanseu Kamhoua James Cheng 17 18 0 08 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs Ziwei Zhang Peng Cui J. Pei Xin Wang Wenwu Zhu GNN 42 29 0 08 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 19 1 0 07 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 12 794 0 07 Jun 2020
RelEx: A Model-Agnostic Relational Model Explainer Yue Zhang David DeFazio Arti Ramesh 16 104 0 30 May 2020
Understanding the Message Passing in Graph Neural Networks via Power Iteration Clustering Xue Li Yuanzhi Cheng GNN 15 9 0 30 May 2020
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity Sudhanshu Chanpuriya Cameron Musco 14 28 0 29 May 2020
Deep graph learning for semi-supervised classification Guangfeng Lin Xiao-bing Kang Kaiyang Liao Fan Zhao Yajun Chen GNN 19 32 0 29 May 2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks Haoteng Tang Guixiang Ma Yurong Chen Lei Guo Wei Wang Bo Zeng Liang Zhan AAML 29 28 0 23 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 26 387 0 22 May 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 11 690 0 20 May 2020
Graphs, Entities, and Step Mixture Kyuyong Shin Wonyoung Shin Jung-Woo Ha Sunyoung Kwon 19 1 0 18 May 2020
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks Masanobu Horie Naoki Morita Toshiaki Hishinuma Yushi Ihara Naoto Mitsume GNN 8 23 0 13 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 30 2,652 0 02 May 2020
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering Shaowen Peng Tsunenori Mine 24 8 0 30 Apr 2020
Directed Graph Convolutional Network Zekun Tong Keli Zhang Changsheng Sun David S. Rosenblum A. Lim BDL GNN 26 112 0 29 Apr 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 19 393 0 23 Apr 2020
SPECTER: Document-level Representation Learning using Citation-informed Transformers Arman Cohan Sergey Feldman Iz Beltagy Doug Downey Daniel S. Weld AI4TS 13 534 0 15 Apr 2020
Graph Highway Networks Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose GNN 23 5 0 09 Apr 2020
A Graph Convolutional Network Composition Framework for Semi-supervised Classification Rahul Ragesh Sundararajan Sellamanickam Vijay Lingam Arun Shankar Iyer GNN 17 2 0 08 Apr 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework Floris Geerts Filip Mazowiecki Guillermo A. Pérez GNN 24 38 0 06 Apr 2020
Deep Learning Based Text Classification: A Comprehensive Review Shervin Minaee Nal Kalchbrenner Min Zhang Narjes Nikzad M. Asgari-Chenaghlu Jianfeng Gao AILaw VLM AI4TS 19 1,090 0 06 Apr 2020
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition Ziyu Liu Hongwen Zhang Zhenghao Chen Zhiyong Wang Wanli Ouyang 32 817 0 31 Mar 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning Zekarias T. Kefato Sarunas Girdzijauskas 16 7 0 30 Mar 2020
Revisiting Over-smoothing in Deep GCNs Chaoqi Yang Ruijie Wang Shuochao Yao Shengzhong Liu Tarek F. Abdelzaher 26 93 0 30 Mar 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 101 82 0 30 Mar 2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search Chen Wei Chuang Niu Yiping Tang Yue Wang Haihong Hu Jimin Liang 30 7 0 28 Mar 2020