Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
Learnt Sparsification for Interpretable Graph Neural Networks Mandeep Rathee Zijian Zhang Thorben Funke Megha Khosla Avishek Anand 25 3 0 23 Jun 2021
Continuous-Depth Neural Models for Dynamic Graph Prediction Michael Poli Stefano Massaroli Clayton M. Rabideau Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 11 8 0 22 Jun 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 44 215 0 21 Jun 2021
Customizing Graph Neural Networks using Path Reweighting Jianpeng Chen Yujing Wang Ming Zeng Zongyi Xiang Bitan Hou Yu Tong Ole J. Mengshoel Yazhou Ren 36 2 0 21 Jun 2021
Trainable Class Prototypes for Few-Shot Learning Jianyi Li Guizhong Liu VLM 22 2 0 21 Jun 2021
Graph-based Label Propagation for Semi-Supervised Speaker Identification Long Chen Venkatesh Ravichandran A. Stolcke SSL 27 16 0 15 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Tingyang Xu Wenbing Huang Yixuan Li Junzhou Huang NoLa 43 11 0 14 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 33 300 0 13 Jun 2021
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification Kaize Ding Jianling Wang Jundong Li James Caverlee Huan Liu OOD OffRL 31 6 0 12 Jun 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks Xu Zou Qinkai Zheng Yuxiao Dong Xinyu Guan Evgeny Kharlamov Jialiang Lu Jie Tang AAML 45 100 0 12 Jun 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation Xiaohui Chen Xu Han Jiajing Hu Francisco J. R. Ruiz Liping Liu BDL 24 34 0 11 Jun 2021
Simple Graph Convolutional Networks Luca Pasa Nicoló Navarin W. Erb A. Sperduti FAtt GNN 22 4 0 10 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 23 133 0 10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 38 1 0 10 Jun 2021
Fairness-Aware Node Representation Learning Öykü Deniz Köse Yanning Shen 32 22 0 09 Jun 2021
Scaling Up Graph Neural Networks Via Graph Coarsening Zengfeng Huang Shengzhong Zhang Chong Xi T. Liu Min Zhou GNN 39 99 0 09 Jun 2021
Graph-MLP: Node Classification without Message Passing in Graph Yang Hu Haoxuan You Zhecan Wang Zhicheng Wang Erjin Zhou Yue Gao 27 108 0 08 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks Bo Xiong Shichao Zhu Nico Potyka Shirui Pan Chuan Zhou Steffen Staab GNN 46 28 0 06 Jun 2021
Graph Belief Propagation Networks Junteng Jia Cenk Baykal Vamsi K. Potluru Austin R. Benson GNN 19 3 0 06 Jun 2021
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph Mengying Sun Jing Xing Huijun Wang Bin Chen Jiayu Zhou 24 115 0 05 Jun 2021
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping Zhangyang Gao S. Bhattacharya Leiming Zhang Rick S. Blum Alejandro Ribeiro Brian M. Sadler 42 24 0 05 Jun 2021
Low-Rank Projections of GCNs Laplacian Nathan Grinsztajn Philippe Preux Edouard Oyallon 19 1 0 04 Jun 2021
DNA-GCN: Graph convolutional networks for predicting DNA-protein binding Yuhang Guo Xiao Luo Liang Chen Minghua Deng GNN 14 7 0 02 Jun 2021
Independent Prototype Propagation for Zero-Shot Compositionality Frank Ruis Gertjan J. Burghouts Doina Bucur 22 53 0 01 Jun 2021
Node-Variant Graph Filters in Graph Neural Networks Fernando Gama Brendon G. Anderson Somayeh Sojoudi GNN 45 6 0 31 May 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 60 1,025 0 30 May 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search Ailing Zeng Minhao Liu Zhiwei Liu Ruiyuan Gao Jing Qin Qiang Xu 19 0 0 30 May 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 23 178 0 27 May 2021
A Comprehensive Survey on Community Detection with Deep Learning Xing Su Shan Xue Fanzhen Liu Jia Wu Jian Yang ... Cécile Paris Surya Nepal Di Jin Quan Z. Sheng Philip S. Yu GNN 25 321 0 26 May 2021
Self-Supervised Graph Representation Learning via Topology Transformations Xiang Gao Wei Hu Guo-Jun Qi SSL 30 4 0 25 May 2021
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification S. Shi Kai Qiao Shuai Yang Linyuan Wang Jian Chen B. Yan AI4CE 18 28 0 25 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications Yecheng Lyu Xinming Huang Ziming Zhang GNN 30 4 0 23 May 2021
Adaptive Filters in Graph Convolutional Neural Networks Andrea Apicella Francesco Isgrò A. Pollastro R. Prevete GNN 27 16 0 21 May 2021
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework Junxiang Wang Hongyi Li Zheng Chai Yongchao Wang Yue Cheng Liang Zhao MQ 27 3 0 20 May 2021
Graph Sanitation with Application to Node Classification Zhe Xu Boxin Du Hanghang Tong 32 35 0 19 May 2021
Improving Graph Neural Networks with Simple Architecture Design S. Maurya Xin Liu T. Murata 26 48 0 17 May 2021
Meta-Inductive Node Classification across Graphs Zhihao Wen Yuan Fang Zemin Liu 43 34 0 14 May 2021
BertGCN: Transductive Text Classification by Combining GCN and BERT Yuxiao Lin Yuxian Meng Xiaofei Sun Qinghong Han Kun Kuang Jiwei Li Fei Wu 18 225 0 12 May 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning Ming Jin Yizhen Zheng Yuan-Fang Li Chen Gong Chuan Zhou Shirui Pan SSL 30 153 0 12 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 76 0 10 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning Hongkuan Zhou Ajitesh Srivastava Hanqing Zeng Rajgopal Kannan Viktor Prasanna GNN 19 65 0 10 May 2021
Graph Feature Gating Networks Wei Jin Xiaorui Liu Yao Ma Tyler Derr Charu C. Aggarwal Jiliang Tang 40 1 0 10 May 2021
Non-Recursive Graph Convolutional Networks Hao Chen Zengde Deng Yue Xu Zhoujun Li GNN 30 8 0 09 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
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs Saurav Manchanda Da Zheng George Karypis GNN 27 5 0 03 May 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 39 21 0 28 Apr 2021
Reconstructing nodal pressures in water distribution systems with graph neural networks Gergely Hajgató Bálint Gyires-Tóth Gyorgy Paál 26 14 0 28 Apr 2021
Semi-Supervised Joint Estimation of Word and Document Readability Yoshinari Fujinuma Masato Hagiwara 37 6 0 27 Apr 2021