Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
Learning the Network of Graphs for Graph Neural Networks Yixiang Shan Jielong Yang Xing Liu Yixing Gao Hechang Chen S. Ge 14 0 0 08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 62 0 07 Oct 2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju Tong Zhao Qianlong Wen Wenhao Yu Neil Shah Yanfang Ye Chuxu Zhang SSL 23 34 0 05 Oct 2022
Learning Globally Smooth Functions on Manifolds J. Cerviño Luiz F. O. Chamon B. Haeffele René Vidal Alejandro Ribeiro 39 5 0 01 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 66 36 0 30 Sep 2022
Relative representations enable zero-shot latent space communication Luca Moschella Valentino Maiorca Marco Fumero Antonio Norelli Francesco Locatello Emanuele Rodolà 34 97 0 30 Sep 2022
How Powerful is Implicit Denoising in Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lu Lin Jinghui Chen Di Wu GNN AI4CE 27 3 0 29 Sep 2022
Imbalanced Node Processing Method in Graph Neural Network Classification Task Min Liu Siwen Jin Luo Jin Shuohan Wang Yu Fang Yuliang Shi 22 0 0 18 Sep 2022
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond Oleg Platonov Denis Kuznedelev Artem Babenko Liudmila Prokhorenkova 59 38 0 13 Sep 2022
A Complex Network based Graph Embedding Method for Link Prediction Said Kerrache Hafida Benhidour 13 1 0 11 Sep 2022
Reinforced Continual Learning for Graphs Appan Rakaraddi Siew-Kei Lam Mahardhika Pratama Marcus Vinícius de Carvalho CLL 27 24 0 04 Sep 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu SyDa AI4CE 32 190 0 26 Aug 2022
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima Hengyu Liu Qiang Fu Lun Du Tiancheng Zhang Gensitskiy Yu. Shi Han Dongmei Zhang 130 3 0 25 Aug 2022
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search Xinshun Feng Herun Wan Shangbin Feng Hongrui Wang Jun Zhou Qinghua Zheng Minnan Luo 32 4 0 18 Aug 2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang GNN 14 18 0 15 Aug 2022
ARIEL: Adversarial Graph Contrastive Learning Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 18 7 0 15 Aug 2022
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model Yirui Liu Xinghao Qiao Liying Wang Jessica Lam BDL 30 3 0 12 Aug 2022
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning Shijie Zhou Zhimeng Guo Charu C. Aggarwal Xiang Zhang Suhang Wang 28 15 0 03 Aug 2022
Demystifying Graph Convolution with a Simple Concatenation Zhiqian Chen Zonghan Zhang GNN 16 0 0 18 Jul 2022
Deep Manifold Learning with Graph Mining Xuelong Li Ziheng Jiao Hongyuan Zhang Rui Zhang GNN 13 0 0 18 Jul 2022
pathGCN: Learning General Graph Spatial Operators from Paths Moshe Eliasof E. Haber Eran Treister 3DPC GNN 33 26 0 15 Jul 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 53 1 0 12 Jul 2022
TREE-G: Decision Trees Contesting Graph Neural Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 33 3 0 06 Jul 2022
Modularity Optimization as a Training Criterion for Graph Neural Networks T. Murata Naveed Afzal 24 3 0 30 Jun 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection Xuanwen Huang Yang Yang Yang Wang Chunping Wang Zhisheng Zhang Jiarong Xu Lei Chen Michalis Vazirgiannis 27 83 0 30 Jun 2022
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture Chengming Zhang Tong Geng Anqi Guo Jiannan Tian Martin C. Herbordt Ang Li Dingwen Tao GNN 33 27 0 28 Jun 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification Jae-gyun Song Joonhyung Park Eunho Yang 36 53 0 26 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yi Qin Ziwei Zhang Xin Eric Wang Zeyang Zhang Wenwu Zhu 34 26 0 18 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 27 21 0 18 Jun 2022
Certified Graph Unlearning Eli Chien Chao Pan O. Milenkovic MU 43 39 0 18 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning Wentao Zhang Zeang Sheng Mingyu Yang Yang Li Yu Shen Zhi-Xin Yang Tengjiao Wang AAML 33 16 0 17 Jun 2022
Parameter Convex Neural Networks Jingcheng Zhou Wei Wei Xing Li Bowen Pang Zhiming Zheng 14 0 0 11 Jun 2022
Semi-Supervised Hierarchical Graph Classification Jia Li Yongfeng Huang Heng Chang Yu Rong 31 28 0 11 Jun 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 33 6 0 10 Jun 2022
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder Jaemin Yoo Hyunsik Jeon Jinhong Jung U. Kang BDL 24 18 0 09 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 37 4 0 09 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 36 40 0 09 Jun 2022
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization Zhen Wang Weirui Kuang Ce Zhang Bolin Ding Yaliang Li FedML 36 13 0 08 Jun 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng Shirui Pan Vincent C. S. Lee Yu Zheng Philip S. Yu 27 95 0 03 Jun 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 35 3 0 30 May 2022
Rethinking the Setting of Semi-supervised Learning on Graphs Ziang Li Ming Ding Weikai Li Zihan Wang Ziyu Zeng Yukuo Cen Jie Tang 19 0 0 28 May 2022
Personalized PageRank Graph Attention Networks Julie Choi GNN 13 5 0 27 May 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei Zhen Wang Yaliang Li Bolin Ding Zhewei Wei AAML 35 43 0 27 May 2022
Revisiting the role of heterophily in graph representation learning: An edge classification perspective Jincheng Huang P. Li Ruifang Huang Chen Na Acong Zhang 45 13 0 23 May 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 80 184 0 23 May 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang C. Wang Jie Tang SSL 52 551 0 22 May 2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest Saket Gurukar Nikil Pancha Andrew Zhai Eric Kim Samson Hu Srinivas Parthasarathy Charles R. Rosenberg J. Leskovec 73 14 0 21 May 2022
On the Prediction Instability of Graph Neural Networks Max Klabunde Florian Lemmerich 40 5 0 20 May 2022
A Simple Yet Effective SVD-GCN for Directed Graphs Chunya Zou Andi Han Lequan Lin Junbin Gao GNN 71 7 0 19 May 2022
Differentiable programming: Generalization, characterization and limitations of deep learning Adrián Hernández G. Millérioux José M. Amigó 17 2 0 13 May 2022