Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

Papers citing "Revisiting Semi-Supervised Learning with Graph Embeddings"

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Title
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 18 6 0 23 Jun 2020
Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning Hande Dong Zhaolin Ding Xiangnan He Fuli Feng Shuxian Bi OOD GNN BDL 21 3 0 23 Jun 2020
A Self-Attention Network based Node Embedding Model Dai Quoc Nguyen T. Nguyen Dinh Q. Phung 30 10 0 22 Jun 2020
Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-based Image Retrieval Anjan Dutta Zeynep Akata GAN 21 24 0 20 Jun 2020
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs Jiong Zhu Yujun Yan Lingxiao Zhao Mark Heimann Leman Akoglu Danai Koutra GNN 26 34 0 20 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 31 14 0 18 Jun 2020
Sequential Graph Convolutional Network for Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim GNN 27 118 0 18 Jun 2020
Learning What to Defer for Maximum Independent Sets SungSoo Ahn Younggyo Seo Jinwoo Shin 6 69 0 17 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 34 715 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 30 432 0 13 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Xia Hu 33 199 0 12 Jun 2020
G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning Jiawei Zhang 14 2 0 11 Jun 2020
Implicit Kernel Attention Kyungwoo Song Yohan Jung Dongjun Kim Il-Chul Moon 16 16 0 11 Jun 2020
Heuristic Semi-Supervised Learning for Graph Generation Inspired by Electoral College Chen Li Xutan Peng Hao Peng Jianxin Li Lihong Wang Philip S. Yu Lifang He 11 3 0 10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 31 1,275 0 10 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 17 121 0 09 Jun 2020
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 36 32 0 08 Jun 2020
Investigating Estimated Kolmogorov Complexity as a Means of Regularization for Link Prediction Paris D. L. Flood Ramón Viñas Pietro Lio 13 0 0 07 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 24 798 0 07 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 36 8 0 06 Jun 2020
Self-supervised Training of Graph Convolutional Networks Qikui Zhu Bo Du Pingkun Yan SSL GNN 19 44 0 03 Jun 2020
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding Bilal Abu-Salih Marwan Al-Tawil Ibrahim Aljarah Hossam Faris P. Wongthongtham 28 59 0 02 Jun 2020
Graph Learning with Loss-Guided Training Eliav Buchnik E. Cohen 21 1 0 31 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 28 387 0 22 May 2020
Learning Representations using Spectral-Biased Random Walks on Graphs Charu Sharma Jatin Chauhan Manohar Kaul 12 2 0 19 May 2020
Graphs, Entities, and Step Mixture Kyuyong Shin Wonyoung Shin Jung-Woo Ha Sunyoung Kwon 19 1 0 18 May 2020
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation Shonosuke Harada H. Kashima CML 8 3 0 11 May 2020
Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion Chaoqi Yang Ruijie Wang Shuochao Yao Tarek Abdelzaher 18 34 0 11 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 287 0 07 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 70 2,663 0 02 May 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs Marjan Albooyeh Rishab Goel Seyed Mehran Kazemi OOD 24 3 0 28 Apr 2020
HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs Chaojie Ji Ruxin Wang Rongxiang Zhu Yunpeng Cai Hongyan Wu 9 3 0 09 Apr 2020
A Graph Convolutional Network Composition Framework for Semi-supervised Classification Rahul Ragesh Sundararajan Sellamanickam Vijay Lingam Arun Shankar Iyer GNN 25 2 0 08 Apr 2020
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN Tingyi Wanyan Chenwei Zhang A. Azad Xiaomin Liang Daifeng Li Ying Ding 25 2 0 03 Apr 2020
Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network Yanglan Ou Yuan Xue Ye Yuan Tao Xu Vincent Pisztora Jia Li Xiaolei Huang GNN 14 8 0 01 Apr 2020
Revisiting Over-smoothing in Deep GCNs Chaoqi Yang Ruijie Wang Shuochao Yao Shengzhong Liu Tarek Abdelzaher 34 95 0 30 Mar 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification Negar Heidari Alexandros Iosifidis GNN 29 14 0 27 Mar 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks M. Balcilar G. Renton Pierre Héroux Benoit Gaüzère Sébastien Adam P. Honeine 21 60 0 26 Mar 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection Xiaoya Li Yuxian Meng Mingxin Zhou Qinghong Han Fei Wu Jiwei Li 27 20 0 22 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs Yiren Zhao Duo Wang Xitong Gao Robert D. Mullins Pietro Lio M. Jamnik GNN AI4CE 51 27 0 21 Mar 2020
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks Yimeng Min Frederik Wenkel Guy Wolf GNN 31 109 0 18 Mar 2020
Spectral Graph Attention Network with Fast Eigen-approximation Heng Chang Yu Rong Tingyang Xu Wenbing Huang Somayeh Sojoudi Junzhou Huang Wenwu Zhu GNN 52 32 0 16 Mar 2020
Tensor Graph Convolutional Networks for Multi-relational and Robust Learning V. Ioannidis A. Marques G. Giannakis 9 25 0 15 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature Interactions Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 31 11 0 05 Mar 2020
Semi-supervised Anomaly Detection on Attributed Graphs Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 26 37 0 27 Feb 2020
Query-Efficient Correlation Clustering David García-Soriano Konstantin Kutzkov Francesco Bonchi Charalampos E. Tsourakakis 10 10 0 26 Feb 2020
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective Yilun Jin Xiguang Wei Yang Liu Qiang Yang FedML 22 63 0 26 Feb 2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes Jilin Hu Jianbing Shen B. Yang Ling Shao BDL GNN 47 17 0 26 Feb 2020
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks Kaidi Xu Sijia Liu Pin-Yu Chen Mengshu Sun Caiwen Ding B. Kailkhura Xinyu Lin OOD AAML 17 7 0 25 Feb 2020