Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
Statistical Estimation from Dependent Data Y. Dagan Anthimos Vardis Kandiros Nishanth Dikkala Surbhi Goel C. Daskalakis 14 8 0 20 Jul 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 27 12 0 15 Jul 2021
Multi-Level Graph Contrastive Learning Pengpeng Shao Tong Liu Dawei Zhang J. Tao Feihu Che Guohua Yang 27 9 0 06 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Xia Hu GNN AI4CE 38 114 0 06 Jul 2021
PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels Wenting Li Deepjyoti Deka 37 7 0 05 Jul 2021
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective Binghui Wang Jiayi Guo Ang Li Yiran Chen H. Li SSL 25 36 0 03 Jul 2021
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning M. Xu Yujie Wu Lei Deng Faqiang Liu Guoqi Li Jing Pei GNN 14 28 0 30 Jun 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 26 49 0 30 Jun 2021
Dual GNNs: Graph Neural Network Learning with Limited Supervision Abdullah Alchihabi Yuhong Guo 16 1 0 29 Jun 2021
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 26 80 0 29 Jun 2021
Learnt Sparsification for Interpretable Graph Neural Networks Mandeep Rathee Zijian Zhang Thorben Funke Megha Khosla Avishek Anand 27 3 0 23 Jun 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 44 215 0 21 Jun 2021
Customizing Graph Neural Networks using Path Reweighting Jianpeng Chen Yujing Wang Ming Zeng Zongyi Xiang Bitan Hou Yu Tong Ole J. Mengshoel Yazhou Ren 36 2 0 21 Jun 2021
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem Jiaqi Ma Junwei Deng Qiaozhu Mei AAML GNN 19 33 0 21 Jun 2021
Zero-shot Node Classification with Decomposed Graph Prototype Network Zheng Wang Jialong Wang Yuchen Guo Zhiguo Gong 19 36 0 15 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Tingyang Xu Wenbing Huang Yixuan Li Junzhou Huang NoLa 43 11 0 14 Jun 2021
Node Classification Meets Link Prediction on Knowledge Graphs Ralph Abboud .Ismail .Ilkan Ceylan 16 3 0 14 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 23 133 0 10 Jun 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 34 76 0 10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 38 1 0 10 Jun 2021
Scaling Up Graph Neural Networks Via Graph Coarsening Zengfeng Huang Shengzhong Zhang Chong Xi T. Liu Min Zhou GNN 39 99 0 09 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs Jiaren Xiao Quanyu Dai Xiaochen Xie J. Lam Ka-Wai Kwok GNN 42 6 0 07 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks Bo Xiong Shichao Zhu Nico Potyka Shirui Pan Chuan Zhou Steffen Staab GNN 46 28 0 06 Jun 2021
Interferometric Graph Transform for Community Labeling Nathan Grinsztajn Louis Leconte Philippe Preux Edouard Oyallon 40 1 0 04 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 40 93 0 03 Jun 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search Ailing Zeng Minhao Liu Zhiwei Liu Ruiyuan Gao Jing Qin Qiang Xu 19 0 0 30 May 2021
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification S. Shi Kai Qiao Shuai Yang Linyuan Wang Jian Chen B. Yan AI4CE 21 28 0 25 May 2021
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks Thorben Funke Megha Khosla Mandeep Rathee Avishek Anand FAtt 28 38 0 18 May 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective Lun Du Xu Chen Fei Gao Qiang Fu Kunqing Xie Shi Han Dongmei Zhang 20 12 0 17 May 2021
Neural Trees for Learning on Graphs Rajat Talak Siyi Hu Lisa Peng Luca Carlone 47 25 0 15 May 2021
Meta-Inductive Node Classification across Graphs Zhihao Wen Yuan Fang Zemin Liu 43 34 0 14 May 2021
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations Xiaolong Fan Maoguo Gong Yue Wu Hao Li SSL 33 4 0 14 May 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning Ming Jin Yizhen Zheng Yuan-Fang Li Chen Gong Chuan Zhou Shirui Pan SSL 30 153 0 12 May 2021
Graph Attention Networks with Positional Embeddings Liheng Ma Reihaneh Rabbany Adriana Romero Soriano GNN 33 20 0 09 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 27 54 0 07 May 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 24 7 0 07 May 2021
Graph Learning: A Survey Feng Xia Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 34 345 0 03 May 2021
Exploiting Transductive Property of Graph Convolutional Neural Networks with Less Labeling Effort Yasir Kilic GNN 14 0 0 01 May 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 39 21 0 28 Apr 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 64 60 0 26 Apr 2021
LGD-GCN: Local and Global Disentangled Graph Convolutional Networks Jingwei Guo Kaizhu Huang Xinping Yi Rui Zhang 29 5 0 24 Apr 2021
CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval Ushasi Chaudhuri Biplab Banerjee A. Bhattacharya Mihai Datcu 37 29 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 36 0 0 19 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC Rohitash Chandra A. Bhagat Manavendra Maharana P. Krivitsky GNN BDL 28 16 0 17 Apr 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 29 96 0 15 Apr 2021
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes Yong-Min Shin Cong Tran Won-Yong Shin Xin Cao SSL 27 6 0 12 Apr 2021
FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search Chunnan Wang Bozhou Chen Geng Li Hongzhi Wang FedML GNN 21 17 0 09 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 36 100 0 03 Apr 2021