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
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks Chaoyang He Emir Ceyani Keshav Balasubramanian M. Annavaram Salman Avestimehr FedML 73 52 0 04 Jun 2021
Interferometric Graph Transform for Community Labeling Nathan Grinsztajn Louis Leconte Philippe Preux Edouard Oyallon 46 1 0 04 Jun 2021
Low-Rank Projections of GCNs Laplacian Nathan Grinsztajn Philippe Preux Edouard Oyallon 26 1 0 04 Jun 2021
DNA-GCN: Graph convolutional networks for predicting DNA-protein binding Yuhang Guo Xiao Luo Liang Chen Minghua Deng GNN 26 8 0 02 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 145 1,102 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 101 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 89 190 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 105 247 0 25 May 2021
Heterogeneous Graph Representation Learning with Relation Awareness Le Yu Leilei Sun Bowen Du Chuanren Liu Weifeng Lv Hui Xiong 72 55 0 24 May 2021
Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View Yu-Jeong Chang Guannan Liu Y. Zuo Junjie Wu 47 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 97 262 0 16 May 2021
BertGCN: Transductive Text Classification by Combining GCN and BERT Yuxiao Lin Yuxian Meng Xiaofei Sun Qinghong Han Kun Kuang Jiwei Li Leilei Gan 134 238 0 12 May 2021
Non-Recursive Graph Convolutional Networks Hao Chen Zengde Deng Yue Xu Zhoujun Li GNN 49 8 0 09 May 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 64 9 0 07 May 2021
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning Massimiliano Mancini Muhammad Ferjad Naeem Yongqin Xian Zeynep Akata CoGe 143 71 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 93 22 0 28 Apr 2021
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation Kashob Kumar Roy Amit Roy A. Rahman M. A. Amin A. Ali SSL 112 10 0 27 Apr 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 115 63 0 26 Apr 2021
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks Chien-Yu Lin Liang Luo Luis Ceze GNN 111 8 0 21 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Tengjiao Wang 72 9 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 45 0 0 19 Apr 2021
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity Valentin Hofmann Xiaowen Dong J. Pierrehumbert Hinrich Schütze 50 15 0 18 Apr 2021
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks Chaoyang He Keshav Balasubramanian Emir Ceyani Carl Yang Han Xie ... Yu Rong P. Zhao Junzhou Huang M. Annavaram Salman Avestimehr FedML OOD 80 2 0 14 Apr 2021
Topological Regularization for Graph Neural Networks Augmentation Rui Song Fausto Giunchiglia Kexin Zhao Hao Xu 148 11 0 03 Apr 2021
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification Irene Li Aosong Feng Hao Wu Tianxiao Li Toyotaro Suzumura Ruihai Dong 61 10 0 26 Mar 2021
Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension Damai Dai Hua Zheng Zhifang Sui Baobao Chang KELM LRM 29 2 0 26 Mar 2021
Rethinking Graph Neural Architecture Search from Message-passing Shaofei Cai Liang Li Jincan Deng Beichen Zhang Zhengjun Zha Li Su Qingming Huang GNN AI4CE 84 53 0 26 Mar 2021
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs Sean Li Dongwoo Kim Qing Wang GNN 79 34 0 26 Mar 2021
Bag of Tricks for Node Classification with Graph Neural Networks Yangkun Wang Jiarui Jin Weinan Zhang Yong Yu Zheng Zhang David Wipf 110 56 0 24 Mar 2021
Expanding Semantic Knowledge for Zero-shot Graph Embedding Ziyi Wang Rui Shao Changping Wang Changjun Hu Chaokun Wang Zhiguo Gong 43 3 0 23 Mar 2021
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction Xinxing Wu Q. Cheng GNN AI4CE 58 12 0 21 Mar 2021
Mention-centered Graph Neural Network for Document-level Relation Extraction Jiaxin Pan Min Peng Yiyang Zhang GNN 60 3 0 15 Mar 2021
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification Xiaochen Hou Peng Qi Guangtao Wang Rex Ying Jing Huang Xiaodong He Bowen Zhou 77 60 0 12 Mar 2021
Should Graph Neural Networks Use Features, Edges, Or Both? Lukas Faber Yifan Lu Roger Wattenhofer GNN 60 10 0 11 Mar 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng Zhang Zengfeng Huang David Wipf 101 83 0 10 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 86 105 0 10 Mar 2021
Scalable Hypergraph Embedding System Sepideh Maleki Donya Saless Dennis Paul Wall K. Pingali GNN 35 5 0 09 Mar 2021
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks George Dasoulas Kevin Scaman Aladin Virmaux GNN 85 39 0 08 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Xiwei Xu GNN 66 28 0 07 Mar 2021
Unified Robust Training for Graph NeuralNetworks against Label Noise Yayong Li Jie Yin Ling-Hao Chen NoLa 80 30 0 05 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 82 17 0 03 Mar 2021
Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks Haifeng Li Jun Cao Jiawei Zhu Qing Zhu Guohua Wu GNN 43 2 0 02 Mar 2021
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities Takeshi D. Itoh Takatomi Kubo K. Ikeda 75 30 0 02 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 111 87 0 01 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 118 594 0 28 Feb 2021
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding Menglin Yang Ziqiao Meng Irwin King 105 28 0 27 Feb 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 154 210 0 26 Feb 2021
Stochastic Aggregation in Graph Neural Networks Yuanqing Wang Theofanis Karaletsos 46 6 0 25 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 158 339 0 22 Feb 2021