Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
Graph Geometry Interaction Learning Shichao Zhu Shirui Pan Chuan Zhou Jia Wu Yanan Cao Bin Wang 71 91 0 23 Oct 2020
Graph Neural Network for Large-Scale Network Localization Wenzhong Yan Di Jin Zhidi Lin Feng Yin GNN 12 31 0 22 Oct 2020
Rethinking pooling in graph neural networks Diego Mesquita Amauri Souza Samuel Kaski GNN AI4CE 25 116 0 22 Oct 2020
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling Wenxuan Zhou Kevin Huang Tengyu Ma Jing Huang 24 273 0 21 Oct 2020
On the Global Self-attention Mechanism for Graph Convolutional Networks Chen Wang Chengyuan Deng GNN 34 4 0 21 Oct 2020
Anisotropic Graph Convolutional Network for Semi-supervised Learning Mahsa Mesgaran Abdessamad BenHamza 31 9 0 20 Oct 2020
Bi-GCN: Binary Graph Convolutional Network Junfu Wang Yunhong Wang Zhen Yang Liang Yang Yuanfang Guo GNN 19 54 0 15 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph Jingkang Yang Weirong Chen Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang NoLa 33 13 0 12 Oct 2020
A Practical Tutorial on Graph Neural Networks I. Ward J. Joyner C. Lickfold Yulan Guo Bennamoun GNN AI4CE 30 12 0 11 Oct 2020
Dirichlet Graph Variational Autoencoder Jia Li Tomas Yu Jiajin Li Honglei Zhang Kangfei Zhao Yu Rong Hong Cheng Junzhou Huang BDL 24 52 0 09 Oct 2020
A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information Chaoyang Wang Zhiqiang Guo Guohui Li Jianjun Li Peng Pan Ke Liu 18 9 0 04 Oct 2020
End-to-End Differentiable Molecular Mechanics Force Field Construction Yuanqing Wang Josh Fass Benjamin Kaminow John E. Herr Dominic Rufa Ivy Zhang Iván Pulido Mike Henry J. Chodera 32 23 0 02 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 41 226 0 30 Sep 2020
Geometric Matrix Completion: A Functional View Abhishek Sharma M. Ovsjanikov 21 1 0 29 Sep 2020
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory Asif Salim S. Sumitra GNN 25 3 0 29 Sep 2020
Graph Neural Networks with Heterophily Jiong Zhu Ryan A. Rossi Anup B. Rao Tung Mai Nedim Lipka Nesreen Ahmed Danai Koutra 28 302 0 28 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective Hongwei Zhang Tijin Yan Zenjun Xie Yuanqing Xia Yuan Zhang GNN 21 24 0 24 Sep 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning Yizhu Jiao Yun Xiong Jiawei Zhang Yao Zhang Tianqi Zhang Yangyong Zhu SSL 21 167 0 22 Sep 2020
"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction S. Yadav Usha Lokala Raminta Daniulaityte K. Thirunarayan Francois R. Lamy A. Sheth 6 17 0 21 Sep 2020
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation Yujia Zheng Siyi Liu Zekun Li Shu Wu 23 37 0 21 Sep 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning Sheng Wan Shirui Pan Jian Yang Chen Gong SSL 22 137 0 15 Sep 2020
Implicit Graph Neural Networks Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 29 147 0 14 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features Weijia Chen Fuli Feng Qifan Wang Xiangnan He Chonggang Song Guohui Ling Yongdong Zhang GNN 27 22 0 11 Sep 2020
Adversarial Attack on Large Scale Graph Jintang Li Tao Xie Liang Chen Fenfang Xie Xiangnan He Zibin Zheng AAML 22 66 0 08 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 21 2 0 05 Sep 2020
Visual Object Tracking by Segmentation with Graph Convolutional Network Bo Jiang Panpan Zhang Lili Huang VOS 18 3 0 05 Sep 2020
LFGCN: Levitating over Graphs with Levy Flights Yuzhou Chen Yulia R. Gel Konstantin Avrachenkov 24 7 0 04 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 27 72 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 30 28 0 03 Sep 2020
SAIL: Self-Augmented Graph Contrastive Learning Lu Yu Shichao Pei Lizhong Ding Jun Zhou Longfei Li Chuxu Zhang Xiangliang Zhang SSL 26 39 0 02 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 24 18 0 01 Sep 2020
Few-Shot Image Classification via Contrastive Self-Supervised Learning Jianyi Li Guizhong Liu VLM SSL MQ 28 13 0 23 Aug 2020
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification Rahul Ragesh Sundararajan Sellamanickam Arun Shankar Iyer Ramakrishna Bairi Vijay Lingam GNN 17 82 0 19 Aug 2020
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection Ye Liu Junsong Yuan Chang Wen Chen 27 80 0 14 Aug 2020
Quaternion Graph Neural Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung GNN 25 32 0 12 Aug 2020
PiNet: Attention Pooling for Graph Classification Peter Meltzer Marcelo Daniel Gutierrez Mallea Peter J Bentley GNN 16 3 0 11 Aug 2020
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications Wei Hu Jiahao Pang Xianming Liu Dong Tian Chia-Wen Lin A. Vetro 29 62 0 05 Aug 2020
Relation Extraction with Self-determined Graph Convolutional Network Sunil Kumar Sahu Derek Thomas Billy Chiu Neha Sengupta Mohammady Mahdy GNN 12 10 0 02 Aug 2020
A Survey on Text Classification: From Shallow to Deep Learning Qian Li Hao Peng Jianxin Li Congyin Xia Renyu Yang Lichao Sun Philip S. Yu Lifang He VLM 28 329 0 02 Aug 2020
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning Kaushalya Madhawa T. Murata AI4CE 35 8 0 22 Jul 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 46 596 0 18 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 16 3 0 17 Jul 2020
Learn to Propagate Reliably on Noisy Affinity Graphs Lei Yang Qingqiu Huang Huaiyi Huang Linning Xu Dahua Lin GNN 30 13 0 17 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 44 67 0 16 Jul 2020
Graph topology inference benchmarks for machine learning Carlos Lassance Vincent Gripon Gonzalo Mateos 26 4 0 16 Jul 2020
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation Florence Regol Soumyasundar Pal Yingxue Zhang Mark J. Coates 8 12 0 09 Jul 2020
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding Kang Liu Feng Xue Richang Hong GNN 27 9 0 07 Jul 2020
GCN for HIN via Implicit Utilization of Attention and Meta-paths Di Jin Zhizhi Yu Dongxiao He Carl Yang Philip S. Yu Jiawei Han GNN 22 10 0 06 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 33 480 0 05 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 57 1,451 0 04 Jul 2020