Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

50 / 368 papers shown

Title
Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Xia Hu 33 198 0 12 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 19 1,273 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 17 120 0 09 Jun 2020
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 28 32 0 08 Jun 2020
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding Bilal Abu-Salih Marwan Al-Tawil Ibrahim Aljarah Hossam Faris P. Wongthongtham 19 59 0 02 Jun 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 26 387 0 22 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 285 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 30 2,652 0 02 May 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs Marjan Albooyeh Rishab Goel Seyed Mehran Kazemi OOD 18 3 0 28 Apr 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification Negar Heidari Alexandros Iosifidis GNN 24 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 19 20 0 22 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs Yiren Zhao Duo Wang Xitong Gao Robert D. Mullins Pietro Lió 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 15 109 0 18 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 20 37 0 27 Feb 2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes Jilin Hu Jianbing Shen B. Yang Ling Shao BDL GNN 42 17 0 26 Feb 2020
Higher-Order Label Homogeneity and Spreading in Graphs D. Eswaran Srijan Kumar Christos Faloutsos 28 19 0 18 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs Han Yang Xiao Yan XINYAN DAI Yongqiang Chen James Cheng 13 36 0 18 Feb 2020
Deep Graph Mapper: Seeing Graphs through the Neural Lens Cristian Bodnar Cătălina Cangea Pietro Lió 25 42 0 10 Feb 2020
ALPINE: Active Link Prediction using Network Embedding Xi Chen Bo Kang Jefrey Lijffijt T. D. Bie 22 3 0 04 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 47 566 0 04 Feb 2020
Efficient and Stable Graph Scattering Transforms via Pruning V. Ioannidis Siheng Chen G. Giannakis 28 11 0 27 Jan 2020
Graph Inference Learning for Semi-supervised Classification Chunyan Xu Zhen Cui Xiaobin Hong Tong Zhang Jian Yang Wei Liu 24 29 0 17 Jan 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations Jiawei Zhang Haopeng Zhang Congying Xia Li Sun 23 298 0 15 Jan 2020
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Josh Payne A. Kundu FedML 21 10 0 27 Dec 2019
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 27 150 0 02 Dec 2019
Independence Promoted Graph Disentangled Networks Yanbei Liu Tianlin Li Shu Wu Zhitao Xiao 24 94 0 26 Nov 2019
On Node Features for Graph Neural Networks Chi Thang Duong Thanh Dat Hoang Haikun Dang Quoc Viet Hung Nguyen Karl Aberer GNN 11 45 0 20 Nov 2019
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 27 96 0 17 Nov 2019
Inductive Relation Prediction by Subgraph Reasoning Komal K. Teru E. Denis William L. Hamilton NAI AI4CE 29 388 0 16 Nov 2019
Multi-hop Convolutions on Weighted Graphs Qikui Zhu Bo Du Pingkun Yan 17 15 0 12 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 55 2,362 0 11 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark J. Coates BDL GNN 33 12 0 08 Nov 2019
Semi-supervisedly Co-embedding Attributed Networks Zaiqiao Meng Shangsong Liang Jinyuan Fang Teng Xiao GNN DRL 18 26 0 31 Oct 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 32 629 0 28 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 21 23 0 27 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification Uchenna Akujuobi Qiannan Zhang Han Yufei Xiangliang Zhang GNN 21 8 0 22 Oct 2019
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification Uchenna Akujuobi Yufei Han Qiannan Zhang Xiangliang Zhang 25 16 0 22 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh V. Chawla Z. Li 47 162 0 07 Oct 2019
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs Josh Payne GNN 22 24 0 07 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 31 23 0 06 Oct 2019
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 32 105 0 06 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
Neural Embedding Propagation on Heterogeneous Networks Carl Yang Jieyu Zhang Jiawei Han 24 20 0 29 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit John Palowitch Bryan Perozzi 11 19 0 25 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
Semi-supervised classification on graphs using explicit diffusion dynamics Robert L. Peach Alexis Arnaudon Mauricio Barahona GNN DiffM 16 15 0 24 Sep 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation Jiawei Zhang Lin Meng 21 52 0 12 Sep 2019