Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
Trivial bundle embeddings for learning graph representations Zheng Xie Xiaojing Zuo Yiping Song 18 0 0 05 Dec 2021
Multi-scale Graph Convolutional Networks with Self-Attention Zhilong Xiong Jia Cai GNN 45 2 0 04 Dec 2021
Multi-task Self-distillation for Graph-based Semi-Supervised Learning Yating Ren Junzhong Ji Lingfeng Niu Minglong Lei SSL 24 7 0 02 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information Zhiling Wang Shimin Di Lei Chen GNN AI4CE 25 39 0 02 Dec 2021
Neuron with Steady Response Leads to Better Generalization Qiang Fu Lun Du Haitao Mao Xu Chen Wei Fang Shi Han Dongmei Zhang 33 5 0 30 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 28 2 0 25 Nov 2021
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering Yaoming Cai Zijia Zhang Z. Cai Xiaobo Liu Yao Ding Pedram Ghamisi FedML 32 1 0 15 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 54 15 0 12 Nov 2021
Implicit SVD for Graph Representation Learning Sami Abu-El-Haija Hesham Mostafa Marcel Nassar V. Crespi Greg Ver Steeg Aram Galstyan 48 5 0 11 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng Xu Zou Yuxiao Dong Yukuo Cen Da Yin Jiarong Xu Yang Yang Jie Tang OOD AAML 30 50 0 08 Nov 2021
Graph Denoising with Framelet Regularizer Bingxin Zhou Ruikun Li Xuebin Zheng Yu Guang Wang Junbin Gao 23 14 0 05 Nov 2021
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs Truong-Son Hy Risi Kondor 42 1 0 02 Nov 2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily Lun Du Xiaozhou Shi Qiang Fu Xiaojun Ma Hengyu Liu Shi Han Dongmei Zhang 40 105 0 29 Oct 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 30 3 0 29 Oct 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 33 193 0 28 Oct 2021
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks Hao Xue Kaixiong Zhou Tianlong Chen Kai Guo Xia Hu Yi Chang Xin Wang AAML 35 15 0 28 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 61 340 0 27 Oct 2021
Node-wise Localization of Graph Neural Networks Zemin Liu Yuan Fang Chenghao Liu Guosheng Lin 27 25 0 27 Oct 2021
Alignment Attention by Matching Key and Query Distributions Shujian Zhang Xinjie Fan Huangjie Zheng Korawat Tanwisuth Mingyuan Zhou OOD 40 10 0 25 Oct 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu-Chiang Frank Wang Siegfried Mercelis Tyler Derr 21 22 0 22 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 34 80 0 18 Oct 2021
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs Langzhang Liang Cuiyun Gao Shiyi Chen Shishi Duan Yu Pan Junjin Zheng Lei Wang Zenglin Xu 36 0 0 18 Oct 2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation Cole Hawkins V. Ioannidis Soji Adeshina George Karypis GNN SSL 31 2 0 12 Oct 2021
Which Samples Should be Learned First: Easy or Hard? Xiaoling Zhou Ou Wu 32 17 0 11 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 35 7 0 10 Oct 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen Yankai Lin Guangxiang Zhao Xuancheng Ren Peng Li Jie Zhou Xu Sun 21 88 0 08 Oct 2021
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) Jie Bu Arka Daw M. Maruf Anuj Karpatne 43 5 0 01 Oct 2021
DeepPSL: End-to-end perception and reasoning Sridhar Dasaratha Sai Akhil Puranam Karmvir Singh Phogat Sunil R. Tiyyagura Nigel P. Duffy BDL ReLM LRM 47 3 0 28 Sep 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 48 34 0 23 Sep 2021
Search For Deep Graph Neural Networks Guosheng Feng Chunnan Wang Hongzhi Wang GNN 36 23 0 21 Sep 2021
Network representation learning systematic review: ancestors and current development state Amina Amara Mohamed Ali Hadj Taieb M. Benaouicha AI4TS GNN 25 23 0 14 Sep 2021
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings Christy Lin D. Sussman Prakash Ishwar 24 5 0 09 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 50 91 0 08 Sep 2021
Multiscale Laplacian Learning Ekaterina Merkurjev D. Nguyen Guo-Wei Wei 48 4 0 08 Sep 2021
Training Graph Neural Networks by Graphon Estimation Ziqing Hu Yihao Fang Lizhen Lin 21 6 0 04 Sep 2021
Node Feature Kernels Increase Graph Convolutional Network Robustness M. Seddik Changmin Wu J. Lutzeyer Michalis Vazirgiannis AAML 34 8 0 04 Sep 2021
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks Fengbin Zhang Haoyi Fan Ruidong Wang Zuoyong Li Tiancai Liang 24 31 0 01 Sep 2021
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations Ido Ben-Yair Gil Ben Shalom Moshe Eliasof Eran Treister MQ 38 5 0 31 Aug 2021
Tree Decomposed Graph Neural Network Yu-Chiang Frank Wang Tyler Derr 24 68 0 25 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 42 42 0 24 Aug 2021
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank Kishan Wimalawarne Taiji Suzuki GNN 22 2 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 32 63 0 24 Aug 2021
Progressive Representative Labeling for Deep Semi-Supervised Learning Xiaopeng Yan Riquan Chen Xue Jiang Jingkang Yang Huabin Zheng Wayne Zhang SSL 28 4 0 13 Aug 2021
Self-supervised Consensus Representation Learning for Attributed Graph Changshu Liu Liangjiang Wen Zhao Kang Guangchun Luo Ling Tian SSL 48 50 0 10 Aug 2021
DGEM: A New Dual-modal Graph Embedding Method in Recommendation System Huimin Zhou Qing Li Yong-jia Jiang Rongwei Yang Zhuyun Qi AI4TS 21 0 0 09 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 39 123 0 04 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 35 11 0 03 Aug 2021
Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification Yu-Chiang Frank Wang Yuesong Shen Daniel Cremers 13 5 0 27 Jul 2021
Local2Global: Scaling global representation learning on graphs via local training Lucas G. S. Jeub Giovanni Colavizza Xiaowen Dong Marya Bazzi Mihai Cucuringu 26 2 0 26 Jul 2021
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings Dominik Kloepfer Angelica I. Aviles-Rivero Daniel Heydecker 19 3 0 21 Jul 2021