Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

50 / 368 papers shown

Title
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 30 1,079 0 07 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 26 85 0 04 Sep 2019
Neural Dynamics on Complex Networks Chengxi Zang Fei Wang AI4CE 35 68 0 18 Aug 2019
Graph Representation Learning via Hard and Channel-Wise Attention Networks Hongyang Gao Shuiwang Ji GNN 22 57 0 05 Jul 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 34 155 0 05 Jun 2019
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings P. Elinas Edwin V. Bonilla Louis C. Tiao BDL GNN 26 10 0 05 Jun 2019
DANE: Domain Adaptive Network Embedding Yizhou Zhang Guojie Song Lun Du Shuwen Yang Yilun Jin OOD 19 78 0 03 Jun 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 27 154 0 30 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 22 288 0 15 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 27 1,065 0 11 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 21 882 0 30 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 22 24 0 24 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification Xiang Gao Wei Hu Zongming Guo GNN 20 1 0 23 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Xia Hu AI4TS GNN 27 100 0 18 Apr 2019
Transfer Adaptation Learning: A Decade Survey Lei Zhang Xinbo Gao OOD 58 184 0 12 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method Shangsheng Xie Mingming Lu FAtt GNN 33 16 0 09 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval Anjan Dutta Zeynep Akata 33 143 0 08 Mar 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 22 62 0 25 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 34 218 0 20 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 41 3,112 0 19 Feb 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 17 56 0 11 Feb 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth Prateek Yadav Manik Bhandari Partha P. Talukdar GNN 30 40 0 24 Jan 2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 14 19 0 14 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 25 227 0 06 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 25 387 0 05 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,400 0 20 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 20 13 0 30 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark J. Coates Deniz Üstebay GNN BDL 21 227 0 27 Nov 2018
Role action embeddings: scalable representation of network positions George Berry GNN 21 2 0 19 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 79 1,654 0 14 Oct 2018
Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised Learning Bo Jiang Doudou Lin GNN 12 7 0 26 Sep 2018
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 14 43 0 20 Aug 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 21 587 0 12 Aug 2018
Jointly Embedding Entities and Text with Distant Supervision Denis R. Newman-Griffis A. Lai Eric Fosler-Lussier 19 30 0 09 Jul 2018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 22 666 0 25 May 2018
Domain Adaptation with Adversarial Training and Graph Embeddings Firoj Alam Chenyu You Muhammad Imran OOD 22 118 0 14 May 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 25 171 0 03 Apr 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 33 296 0 28 Mar 2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs Xinyu Wang Yufei Ye Abhinav Gupta 18 584 0 21 Mar 2018
Reviving and Improving Recurrent Back-Propagation Renjie Liao Yuwen Xiong Ethan Fetaya Lisa Zhang Kijung Yoon Xaq Pitkow R. Urtasun R. Zemel BDL 38 118 0 16 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification Renjie Liao Marc Brockschmidt Daniel Tarlow Alexander L. Gaunt R. Urtasun R. Zemel GNN 22 76 0 16 Mar 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 30 157 0 07 Mar 2018
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification Sami Abu-El-Haija Amol Kapoor Bryan Perozzi Joonseok Lee GNN SSL 25 258 0 24 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 33 7 0 15 Feb 2018
Learning Role-based Graph Embeddings Nesreen Ahmed Ryan Rossi J. B. Lee Theodore L. Willke R. Zhou Xiangnan Kong Hoda Eldardiry 18 96 0 07 Feb 2018
HONE: Higher-Order Network Embeddings Ryan A. Rossi Nesreen Ahmed Eunyee Koh Sungchul Kim Anup B. Rao Yasin Abbasi-Yadkori 29 22 0 28 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 66 2,777 0 22 Jan 2018
Adversarial Network Embedding Quanyu Dai Qiang Li Jian Tang Dan Wang GNN GAN 35 221 0 21 Nov 2017
Topology Adaptive Graph Convolutional Networks Jian Du Shanghang Zhang Guanhang Wu José M. F. Moura S. Kar GNN 27 298 0 28 Oct 2017
Learning Structural Node Embeddings Via Diffusion Wavelets Claire Donnat Marinka Zitnik David Hallac J. Leskovec GNN DiffM 30 386 0 27 Oct 2017