Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
Higher-Order Label Homogeneity and Spreading in Graphs D. Eswaran Srijan Kumar Christos Faloutsos 44 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
Adversarial Deep Network Embedding for Cross-network Node Classification X. Shen Quanyu Dai K. F. Chung Wei Lu K. Choi 20 81 0 18 Feb 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows A. Bose Ariella Smofsky Renjie Liao Prakash Panangaden William L. Hamilton DRL 19 67 0 15 Feb 2020
Deep Graph Mapper: Seeing Graphs through the Neural Lens Cristian Bodnar Cătălina Cangea Pietro Lio 25 42 0 10 Feb 2020
Bilinear Graph Neural Network with Neighbor Interactions Hongmin Zhu Fuli Feng Xiangnan He Xiang Wang Yan Li Kai Zheng Yongdong Zhang 10 3 0 10 Feb 2020
ALPINE: Active Link Prediction using Network Embedding Xi Chen Bo Kang Jefrey Lijffijt T. D. Bie 30 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 51 568 0 04 Feb 2020
Fast Generating A Large Number of Gumbel-Max Variables Yiyan Qi Peijie Wang Yuanming Zhang Junzhou Zhao Guangjian Tian X. Guan 21 4 0 02 Feb 2020
Efficient and Stable Graph Scattering Transforms via Pruning V. Ioannidis Siheng Chen G. Giannakis 33 11 0 27 Jan 2020
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification Jiawei Zhang GNN 16 4 0 22 Jan 2020
Graph Inference Learning for Semi-supervised Classification Chunyan Xu Zhen Cui Xiaobin Hong Tong Zhang Jian Yang Wei Liu 24 30 0 17 Jan 2020
Estimating Aggregate Properties In Relational Networks With Unobserved Data Varun R. Embar S. Srinivasan Lise Getoor 22 0 0 16 Jan 2020
CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification P. Sellars Angelica Aviles-Rivero Carola Bibiane Schönlieb 14 0 0 15 Jan 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations Jiawei Zhang Haopeng Zhang Congying Xia Li Sun 31 299 0 15 Jan 2020
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Josh Payne A. Kundu FedML 26 10 0 27 Dec 2019
Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks Athanasios Davvetas I. Klampanos 17 0 0 22 Dec 2019
Graph Convolutional Networks: analysis, improvements and results I. Ullah M. Manzo M. Shah Michael G. Madden GNN 27 51 0 19 Dec 2019
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection Xiao Han Zihao Wang E. Tu G. Suryanarayana Jie Yang 20 4 0 19 Dec 2019
Hyperbolic Graph Attention Network Yiding Zhang Tianlin Li Xunqiang Jiang C. Shi Yanfang Ye GNN 27 129 0 06 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 30 94 0 26 Nov 2019
Discrete and Continuous Deep Residual Learning Over Graphs Pedro H. C. Avelar Anderson R. Tavares Marco Gori Luís C. Lamb GNN 30 20 0 21 Nov 2019
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications Bitan Hou Yujing Wang Ming Zeng Shan Jiang Ole J. Mengshoel Yunhai Tong Jing Bai 30 2 0 21 Nov 2019
On Node Features for Graph Neural Networks Chi Thang Duong Thanh Dat Hoang Haikun Dang Quoc Viet Hung Nguyen Karl Aberer GNN 27 45 0 20 Nov 2019
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 27 97 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
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms Kanika Narang Chaoqi Yang A. Krishnan Junting Wang Hari Sundaram Carolyn Sutter 23 6 0 16 Nov 2019
A Hierarchy of Graph Neural Networks Based on Learnable Local Features M. Li Meng Dong Jiawei Zhou Alexander M. Rush AI4CE GNN 38 7 0 13 Nov 2019
Multi-hop Convolutions on Weighted Graphs Qikui Zhu Bo Du Pingkun Yan 17 15 0 12 Nov 2019
A Capsule Network-based Model for Learning Node Embeddings Dai Quoc Nguyen T. Nguyen Dat Quoc Nguyen Dinh Q. Phung GNN 28 9 0 12 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 88 2,365 0 11 Nov 2019
Higher-order Weighted Graph Convolutional Networks Songtao Liu Lingwei Chen Hanze Dong Zihao Wang Dinghao Wu Zengfeng Huang GNN 9 26 0 11 Nov 2019
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network Deli Chen Xiaoqian Liu Yankai Lin Peng Li Jie Zhou Qi Su Xu Sun GNN 17 2 0 10 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark Coates BDL GNN 38 12 0 08 Nov 2019
Neural Graph Embedding Methods for Natural Language Processing Shikhar Vashishth GNN 25 9 0 08 Nov 2019
SENSE: Semantically Enhanced Node Sequence Embedding S. Rallapalli Liang Ma Mudhakar Srivatsa A. Swami H. Kwon Graham A. Bent Christopher Simpkin 8 3 0 07 Nov 2019
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction Fenyu Hu Yanqiao Zhu Shu Wu Weiran Huang Liang Wang Tieniu Tan GNN 27 47 0 05 Nov 2019
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders Carl Yang Jieyu Zhang Haonan Wang Sha Li M. Kim Matthew Walker Yiou Xiao Jiawei Han 21 43 0 04 Nov 2019
Semi-supervisedly Co-embedding Attributed Networks Zaiqiao Meng Shangsong Liang Jinyuan Fang Teng Xiao GNN DRL 37 26 0 31 Oct 2019
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs Pedro Mercado Francesco Tudisco Matthias Hein 36 18 0 30 Oct 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 32 630 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
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning Soumyasundar Pal Florence Regol Mark Coates BDL GNN 19 13 0 26 Oct 2019
Topological based classification using graph convolutional networks R. Abel I. Benami Y. Louzoun GNN 27 5 0 26 Oct 2019
Towards Train-Test Consistency for Semi-supervised Temporal Action Localization Xudong Lin Zheng Shou Shih-Fu Chang 31 2 0 24 Oct 2019
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters Asiri Wijesinghe Qing Wang GNN 28 28 0 24 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification Uchenna Akujuobi Qiannan Zhang Han Yufei Xiangliang Zhang GNN 24 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
On Semi-Supervised Multiple Representation Behavior Learning R. Lu Shengluan Hou 12 3 0 21 Oct 2019