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"

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Title
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 55 18 0 21 Jul 2021
Relational Graph Convolutional Networks: A Closer Look Thiviyan Thanapalasingam Lucas van Berkel Peter Bloem Paul T. Groth GNN 19 19 0 21 Jul 2021
Learning Attributed Graph Representations with Communicative Message Passing Transformer Jianwen Chen Shuangjia Zheng Ying Song Jiahua Rao Yuedong Yang 30 47 0 19 Jul 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 27 12 0 15 Jul 2021
A Graph Data Augmentation Strategy with Entropy Preservation Xue Liu Dan Sun Wei Wei AAML 19 1 0 13 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN 24 31 0 10 Jul 2021
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks Amirhossein Nouranizadeh Mohammadjavad Matinkia Mohammad Rahmati Reza Safabakhsh 27 20 0 03 Jul 2021
Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction Sriram Pingali S. Yadav Pratik Dutta S. Saha 12 4 0 01 Jul 2021
Edge Representation Learning with Hypergraphs Jaehyeong Jo Jinheon Baek Seul Lee Dongki Kim Minki Kang Sung Ju Hwang 24 64 0 30 Jun 2021
CityNet: A Comprehensive Multi-Modal Urban Dataset for Advanced Research in Urban Computing Zhengfei Zheng Xu Geng Hai Yang 14 0 0 30 Jun 2021
Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification Wenming Tang 3DH AI4CE 27 19 0 30 Jun 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 26 49 0 30 Jun 2021
Dual GNNs: Graph Neural Network Learning with Limited Supervision Abdullah Alchihabi Yuhong Guo 16 1 0 29 Jun 2021
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 26 80 0 29 Jun 2021
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting Zheng Fang Qingqing Long Guojie Song Kunqing Xie AI4TS 17 459 0 24 Jun 2021
Weisfeiler and Lehman Go Cellular: CW Networks Cristian Bodnar Fabrizio Frasca N. Otter Yu Guang Wang Pietro Lio Guido Montúfar M. Bronstein GNN 33 227 0 23 Jun 2021
Learnt Sparsification for Interpretable Graph Neural Networks Mandeep Rathee Zijian Zhang Thorben Funke Megha Khosla Avishek Anand 30 3 0 23 Jun 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks Hengrui Zhang Qitian Wu Junchi Yan David Wipf Philip S. Yu SSL 22 215 0 23 Jun 2021
Exploring the Representational Power of Graph Autoencoder Maroun Haddad Mohamed Bouguessa 21 5 0 22 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
Message Passing in Graph Convolution Networks via Adaptive Filter Banks Xing Gao Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard GNN 30 6 0 18 Jun 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric Xing Xiaodan Liang 29 86 0 17 Jun 2021
Zero-shot Node Classification with Decomposed Graph Prototype Network Zheng Wang Jialong Wang Yuchen Guo Zhiguo Gong 19 36 0 15 Jun 2021
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond Jonathan Godwin Michael Schaarschmidt Alex Gaunt Alvaro Sanchez-Gonzalez Yulia Rubanova Petar Velivcković J. Kirkpatrick Peter W. Battaglia 43 60 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
Node Classification Meets Link Prediction on Knowledge Graphs Ralph Abboud .Ismail .Ilkan Ceylan 16 3 0 14 Jun 2021
Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation Jeonghee Jo Bumju Kwak Byunghan Lee Sungroh Yoon 38 2 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
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 42 131 0 11 Jun 2021
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs Seongjun Yun Minbyul Jeong Sungdong Yoo Seunghun Lee Sean S. Yi Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 27 65 0 11 Jun 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 30 228 0 11 Jun 2021
Learnable Hypergraph Laplacian for Hypergraph Learning Jiying Zhang Yuzhao Chen Xiong Xiao Runiu Lu Shutao Xia 42 28 0 10 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 27 114 0 08 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
Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition P. Antoniadis P. Filntisis Petros Maragos CVBM 24 36 0 07 Jun 2021
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs Jiaren Xiao Quanyu Dai Xiaochen Xie J. Lam Ka-Wai Kwok GNN 42 6 0 07 Jun 2021
On Local Aggregation in Heterophilic Graphs Hesham Mostafa Marcel Nassar Somdeb Majumdar 18 4 0 06 Jun 2021
Transient Chaos in BERT Katsuma Inoue Soh Ohara Yasuo Kuniyoshi Kohei Nakajima 22 3 0 06 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
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks Chaoyang He Emir Ceyani Keshav Balasubramanian M. Annavaram Salman Avestimehr FedML 25 50 0 04 Jun 2021
Interferometric Graph Transform for Community Labeling Nathan Grinsztajn Louis Leconte Philippe Preux Edouard Oyallon 40 1 0 04 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
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
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks Ruchi Puri David S. Kung G. Janssen Wei Zhang Giacomo Domeniconi ... Saurabh Pujar Shyam Ramji Ulrich Finkler Susan Malaika Frederick Reiss 32 229 0 25 May 2021
Heterogeneous Graph Representation Learning with Relation Awareness Le Yu Leilei Sun Bowen Du Chuanren Liu Weifeng Lv Hui Xiong 32 53 0 24 May 2021
Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View Yu-Jeong Chang Guannan Liu Y. Zuo Junjie Wu 24 3 0 18 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 35 243 0 16 May 2021