Simple and Deep Graph Convolutional Networks

4 July 2020

Papers citing "Simple and Deep Graph Convolutional Networks"

50 / 678 papers shown

Title
Learnable Hypergraph Laplacian for Hypergraph Learning Jiying Zhang Yuzhao Chen Xiong Xiao Runiu Lu Shutao Xia 37 28 0 10 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 18 133 0 10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 35 1 0 10 Jun 2021
Scaling Up Graph Neural Networks Via Graph Coarsening Zengfeng Huang Shengzhong Zhang Chong Xi T. Liu Min Zhou GNN 34 101 0 09 Jun 2021
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning Shuoran Jiang Qingcai Chen Xin Liu Baotian Hu Lisai Zhang 26 3 0 08 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks Bo Xiong Shichao Zhu Nico Potyka Shirui Pan Chuan Zhou Steffen Staab GNN 38 28 0 06 Jun 2021
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Huixuan Chi Yuying Wang Qinfen Hao Hong Xia GNN 24 11 0 18 May 2021
Improving Graph Neural Networks with Simple Architecture Design S. Maurya Xin Liu T. Murata 26 47 0 17 May 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth Keyulu Xu Mozhi Zhang Stefanie Jegelka Kenji Kawaguchi GNN 25 75 0 10 May 2021
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks Gongxu Luo Jianxin Li Jianlin Su Hao Peng Carl Yang Lichao Sun Philip S. Yu Lifang He 27 26 0 07 May 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 22 7 0 07 May 2021
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning Massimiliano Mancini Muhammad Ferjad Naeem Yongqin Xian Zeynep Akata CoGe 77 67 0 03 May 2021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks Jing Huang Jie-jin Yang AI4CE GNN 19 167 0 03 May 2021
Residual Enhanced Multi-Hypergraph Neural Network Jing Huang Xiaolin Huang Jie-jin Yang 9 8 0 02 May 2021
WGCN: Graph Convolutional Networks with Weighted Structural Features Yunxiang Zhao Jianzhong Qi Qingwei Liu Rui Zhang GNN 32 33 0 29 Apr 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 64 60 0 26 Apr 2021
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks Chien-Yu Lin Liang Luo Luis Ceze GNN 79 8 0 21 Apr 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 49 11 0 21 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 30 0 0 19 Apr 2021
Search to aggregate neighborhood for graph neural network Huan Zhao Quanming Yao Wei-Wei Tu GNN 35 90 0 14 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 36 100 0 03 Apr 2021
Topological Regularization for Graph Neural Networks Augmentation Rui Song Fausto Giunchiglia Kexin Zhao Hao Xu 16 11 0 03 Apr 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang Tieniu Tan 42 10 0 29 Mar 2021
RAN-GNNs: breaking the capacity limits of graph neural networks D. Valsesia Giulia Fracastoro E. Magli GNN 38 7 0 29 Mar 2021
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction Xinxing Wu Q. Cheng GNN AI4CE 22 11 0 21 Mar 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng-Wei Zhang Zengfeng Huang David Wipf 39 83 0 10 Mar 2021
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks George Dasoulas Kevin Scaman Aladin Virmaux GNN 27 40 0 08 Mar 2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang Jiawei Liu C. Shi 25 123 0 04 Mar 2021
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective Wei Huang Yayong Li Weitao Du Jie Yin R. Xu Ling-Hao Chen Miao Zhang 26 17 0 03 Mar 2021
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities Takeshi D. Itoh Takatomi Kubo K. Ikeda 34 29 0 02 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 19 16 0 01 Mar 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 21 11 0 19 Feb 2021
Fast Graph Learning with Unique Optimal Solutions Sami Abu-El-Haija V. Crespi Greg Ver Steeg Aram Galstyan 13 0 0 17 Feb 2021
How Framelets Enhance Graph Neural Networks Xuebin Zheng Bingxin Zhou Junbin Gao Yu Guang Wang Pietro Lio Ming Li Guido Montúfar 59 69 0 13 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 36 249 0 12 Feb 2021
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning Elan Markowitz Keshav Balasubramanian Mehrnoosh Mirtaheri Sami Abu-El-Haija Bryan Perozzi Greg Ver Steeg Aram Galstyan 22 22 0 08 Feb 2021
Mimetic Neural Networks: A unified framework for Protein Design and Folding Moshe Eliasof Tue Boesen E. Haber C. Keasar Eran Treister AI4CE 35 12 0 07 Feb 2021
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery Shuliang Xu Sheng-lan Liu Lin Feng SSL 24 2 0 05 Feb 2021
Learning Graph Embeddings for Compositional Zero-shot Learning Muhammad Ferjad Naeem Yongqin Xian Federico Tombari Zeynep Akata CoGe 20 137 0 03 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 24 85 0 31 Jan 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 54 198 0 28 Jan 2021
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 23 12 0 30 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 28 20 0 07 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 14 24 0 02 Dec 2020
Stacked Graph Filter Hoang NT Takanori Maehara T. Murata GNN 22 4 0 22 Nov 2020
Node Similarity Preserving Graph Convolutional Networks Wei Jin Tyler Derr Yiqi Wang Yao Ma Zitao Liu Jiliang Tang 36 248 0 19 Nov 2020
Universal Activation Function For Machine Learning Brosnan Yuen Minh Tu Hoang Xiaodai Dong Tao Lu 26 40 0 07 Nov 2020
On Self-Distilling Graph Neural Network Y. Chen Yatao Bian Xi Xiao Yu Rong Tingyang Xu Junzhou Huang FedML 27 48 0 04 Nov 2020
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs Hao Xu Shengqi Sang Peizhen Bai Laurence Yang Haiping Lu GNN 24 15 0 29 Oct 2020
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 21 44 0 28 Oct 2020