Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
Modeling Graph Node Correlations with Neighbor Mixture Models Linfeng Liu Michael Hughes Liping Liu 36 0 0 29 Mar 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 24 140 0 27 Mar 2021
Self-supervised Graph Neural Networks without explicit negative sampling Zekarias T. Kefato Sarunas Girdzijauskas SSL 42 40 0 27 Mar 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 24 119 0 23 Mar 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu Matthias Fey Hongyu Ren Maho Nakata Yuxiao Dong J. Leskovec AI4CE 23 400 0 17 Mar 2021
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 19 318 0 16 Mar 2021
Adversarial Graph Disentanglement Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao 40 10 0 12 Mar 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng-Wei Zhang Zengfeng Huang David Wipf 39 83 0 10 Mar 2021
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis Chaoyi Zhang Jianhui Yu Yang Song Weidong (Tom) Cai 3DPC 35 49 0 09 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 27 28 0 07 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 19 16 0 01 Mar 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Feng Xia Philip S. Yu SSL 38 544 0 27 Feb 2021
Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction Jakob Meldgaard Kjær Lasse Kristensen Mads Alberg Christensen GNN AI4TS 26 1 0 26 Feb 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 84 193 0 26 Feb 2021
Towards Robust Graph Contrastive Learning Nikola Jovanović Zhao Meng Lukas Faber Roger Wattenhofer SSL 26 33 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 41 326 0 22 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 44 79 0 22 Feb 2021
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks Vijay Lingam Arun Shankar Iyer Rahul Ragesh 13 2 0 20 Feb 2021
Fast Graph Learning with Unique Optimal Solutions Sami Abu-El-Haija V. Crespi Greg Ver Steeg Aram Galstyan 21 0 0 17 Feb 2021
Privacy-Preserving Graph Convolutional Networks for Text Classification Timour Igamberdiev Ivan Habernal GNN 33 33 0 10 Feb 2021
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning Elan Markowitz Keshav Balasubramanian Mehrnoosh Mirtaheri Sami Abu-El-Haija Bryan Perozzi Greg Ver Steeg Aram Galstyan 28 22 0 08 Feb 2021
Learning Conjoint Attentions for Graph Neural Nets Tiantian He Yew-Soon Ong Lu Bai GNN 28 52 0 05 Feb 2021
Lookup subnet based Spatial Graph Convolutional neural Network Jingzhao Hu Xiaoqi Zhang Qiaomei Jia Chen Wang Qirong Bu Jun Feng GNN 20 0 0 04 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 54 198 0 28 Jan 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 52 6 0 27 Jan 2021
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs Dongyuan Li Hao Peng Jia Wu Yingtong Dou Jianxin Li Philip S. Yu 27 90 0 21 Jan 2021
Edge-Featured Graph Attention Network Jun Chen Hao-peng Chen GNN 30 35 0 19 Jan 2021
Learning the Implicit Semantic Representation on Graph-Structured Data Likang Wu Zhi Li Hongke Zhao Qi Liu Jun Wang Mengdi Zhang Enhong Chen GNN 20 18 0 16 Jan 2021
Variational Embeddings for Community Detection and Node Representation R. A. Khan Muhammad Umer Anwaar Omran Kaddah M. Kleinsteuber 29 0 0 11 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification Tian Xie Bin Wang C.-C. Jay Kuo 30 36 0 07 Jan 2021
Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network Xing Li Wei Wei Xiangnan Feng Zhiming Zheng GNN 21 1 0 02 Jan 2021
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks Binghui Wang Jinyuan Jia Neil Zhenqiang Gong GNN 30 18 0 24 Dec 2020
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism M. Dearing Xiaoyang Sean Wang GNN AI4CE 21 3 0 20 Dec 2020
A pipeline for fair comparison of graph neural networks in node classification tasks Wentao Zhao Dalin Zhou X. Qiu Wei Jiang 16 5 0 19 Dec 2020
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks Xiang Li Danhao Ding B. Kao Yizhou Sun N. Mamoulis 42 46 0 18 Dec 2020
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification Deli Chen Yankai Lin Lei Li Xuancheng Ren Peng Li Jie Zhou Xu Sun 32 5 0 14 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 90 116 0 08 Dec 2020
Graph Mixture Density Networks Federico Errica D. Bacciu Alessio Micheli 32 17 0 05 Dec 2020
A Targeted Universal Attack on Graph Convolutional Network Jiazhu Dai Weifeng Zhu Xiangfeng Luo AAML GNN 27 19 0 29 Nov 2020
Cyclic Label Propagation for Graph Semi-supervised Learning Zhao Li Yixin Liu Zhen Zhang Shirui Pan Jianliang Gao Jiajun Bu 21 7 0 24 Nov 2020
Stacked Graph Filter Hoang NT Takanori Maehara T. Murata GNN 22 4 0 22 Nov 2020
Graph Signal Recovery Using Restricted Boltzmann Machines Ankith Mohan A. Nakano Emilio Ferrara 25 4 0 20 Nov 2020
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks Franco Manessi A. Rozza SSL 22 40 0 14 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising Dongsheng Luo Wei Cheng Wenchao Yu Bo Zong Jingchao Ni Haifeng Chen Xiang Zhang OOD 21 259 0 13 Nov 2020
Self-supervised Graph Representation Learning via Bootstrapping Feihu Che Guohua Yang Dawei Zhang J. Tao Pengpeng Shao Tong Liu SSL 8 23 0 10 Nov 2020
Artificial Intelligence Decision Support for Medical Triage Chiara Marchiori D. Dykeman Ivan Girardi Adam Ivankay Kevin Thandiackal M. Zusag Andrea Giovannini Daniel Karpati H. Saenz 36 9 0 09 Nov 2020
Universal Activation Function For Machine Learning Brosnan Yuen Minh Tu Hoang Xiaodai Dong Tao Lu 26 40 0 07 Nov 2020
Geometric Scattering Attention Networks Yimeng Min Frederik Wenkel Guy Wolf 21 9 0 28 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 37 283 0 27 Oct 2020
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies Yuehua Zhu Muli Yang Cheng Deng Wei Liu 30 55 0 26 Oct 2020