Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 124 131 0 24 Oct 2020
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks John Brennan Stephen Bonner Amir Atapour-Abarghouei Philip T. G. Jackson B. Obara A. Mcgough GNN 19 3 0 23 Oct 2020
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation Hande Dong Jiawei Chen Fuli Feng Xiangnan He Shuxian Bi Zhaolin Ding Peng Cui BDL 35 102 0 23 Oct 2020
Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs Arpit Merchant M. Mathioudakis 15 1 0 22 Oct 2020
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 117 59 0 20 Oct 2020
Anisotropic Graph Convolutional Network for Semi-supervised Learning Mahsa Mesgaran Abdessamad BenHamza 31 9 0 20 Oct 2020
Bi-GCN: Binary Graph Convolutional Network Junfu Wang Yunhong Wang Zhen Yang Liang Yang Yuanfang Guo GNN 19 54 0 15 Oct 2020
Meta-Active Learning for Node Response Prediction in Graphs Tomoharu Iwata 11 0 0 12 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 41 176 0 05 Oct 2020
Multi-Modal Retrieval using Graph Neural Networks Aashish Kumar Misraa Ajinkya Kale Pranav Aggarwal A. Aminian GNN 26 12 0 04 Oct 2020
The Role of Isomorphism Classes in Multi-Relational Datasets Vijja Wichitwechkarn Ben Day Cristian Bodnar Matthew Wales Pietro Lio 43 0 0 30 Sep 2020
Message Passing Neural Processes Ben Day Cătălina Cangea Arian R. Jamasb Pietro Lio 27 11 0 29 Sep 2020
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory Asif Salim S. Sumitra GNN 33 3 0 29 Sep 2020
Semi-Supervised Node Classification by Graph Convolutional Networks and Extracted Side Information Mohammadjafar Esmaeili Aria Nosratinia GNN 35 1 0 29 Sep 2020
Graph Neural Networks with Heterophily Jiong Zhu Ryan A. Rossi Anup B. Rao Tung Mai Nedim Lipka Nesreen Ahmed Danai Koutra 28 303 0 28 Sep 2020
Information Obfuscation of Graph Neural Networks Peiyuan Liao Han Zhao Keyulu Xu Tommi Jaakkola Geoffrey J. Gordon Stefanie Jegelka Ruslan Salakhutdinov AAML 23 34 0 28 Sep 2020
Inductive Graph Embeddings through Locality Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez GNN 15 1 0 26 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective Hongwei Zhang Tijin Yan Zenjun Xie Yuanqing Xia Yuan Zhang GNN 21 24 0 24 Sep 2020
Learned Low Precision Graph Neural Networks Yiren Zhao Duo Wang Daniel Bates Robert D. Mullins M. Jamnik Pietro Lio GNN 39 34 0 19 Sep 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning Sheng Wan Shirui Pan Jian Yang Chen Gong SSL 22 137 0 15 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning Costas Mavromatis George Karypis 27 54 0 15 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 28 751 0 08 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 27 72 0 04 Sep 2020
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Shu Wu Liang Wang SSL GNN 30 28 0 03 Sep 2020
Beyond Observed Connections : Link Injection Jie Bu M. Maruf Arka Daw GNN 19 0 0 02 Sep 2020
Mutual Teaching for Graph Convolutional Networks Kun Zhan Chaoxi Niu SSL 30 32 0 02 Sep 2020
Optimization of Graph Neural Networks with Natural Gradient Descent M. Izadi Yihao Fang R. Stevenson Lizhen Lin GNN 24 41 0 21 Aug 2020
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 18 10 0 20 Aug 2020
Quaternion Graph Neural Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung GNN 30 32 0 12 Aug 2020
Degree-Quant: Quantization-Aware Training for Graph Neural Networks Shyam A. Tailor Javier Fernandez-Marques Nicholas D. Lane GNN MQ 29 140 0 11 Aug 2020
Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs Xing Li Wei Wei Xiangnan Feng Xue Liu Zhiming Zheng GNN 17 12 0 31 Jul 2020
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning Bingbing Xu Huawei Shen Qi Cao Keting Cen Xueqi Cheng 16 150 0 27 Jul 2020
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification Bingbing Xu Junjie Huang Liang Hou Huawei Shen Jinhua Gao Xueqi Cheng 16 41 0 27 Jul 2020
Grale: Designing Networks for Graph Learning Jonathan J. Halcrow A. Mosoi Sam Ruth Bryan Perozzi GNN 67 47 0 23 Jul 2020
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams Amila Silva S. Karunasekera C. Leckie Ling Luo AI4TS 24 2 0 23 Jul 2020
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning Kaushalya Madhawa T. Murata AI4CE 35 8 0 22 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 21 3 0 17 Jul 2020
Distributed Training of Graph Convolutional Networks Simone Scardapane Indro Spinelli P. Lorenzo GNN BDL 51 26 0 13 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 33 85 0 09 Jul 2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks Guyue Huang Guohao Dai Yu Wang Huazhong Yang GNN 32 122 0 07 Jul 2020
Faster Graph Embeddings via Coarsening Matthew Fahrbach Gramoz Goranci Richard Peng Sushant Sachdeva Chi Wang 22 28 0 06 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 57 1,451 0 04 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 29 28 0 03 Jul 2020
Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach M. Maruf Anuj Karpatne 9 1 0 02 Jul 2020
Build2Vec: Building Representation in Vector Space Mahmoud Abdelrahman A. Chong Clayton Miller SSL 6 11 0 01 Jul 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 34 259 0 30 Jun 2020
SCE: Scalable Network Embedding from Sparsest Cut Shengzhong Zhang Zengfeng Huang Haicang Zhou Ziang Zhou SSL BDL 29 18 0 30 Jun 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lio GNN 41 54 0 29 Jun 2020
Lifelong Learning of Graph Neural Networks for Open-World Node Classification Lukas Galke Benedikt Franke Tobias Zielke A. Scherp GNN AI4CE 29 37 0 25 Jun 2020
Graph Policy Network for Transferable Active Learning on Graphs Shengding Hu Zheng Xiong Meng Qu Xingdi Yuan Marc-Alexandre Côté Zhiyuan Liu Jian Tang GNN 30 65 0 24 Jun 2020