Learning to Make Predictions on Graphs with Autoencoders

Learning to Make Predictions on Graphs with Autoencoders

23 February 2018

Papers citing "Learning to Make Predictions on Graphs with Autoencoders"

12 / 12 papers shown

Title
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 83 1,970 0 17 Sep 2017
A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark Disha Shrivastava S. Chaudhury Jayadeva Jayadeva 27 11 0 19 Aug 2017
Training Deep AutoEncoders for Collaborative Filtering Oleksii Kuchaiev Boris Ginsburg 47 80 0 05 Aug 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 79 3,541 0 21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 354 28,795 0 09 Sep 2016
Trace Norm Regularised Deep Multi-Task Learning Yongxin Yang Timothy M. Hospedales FedML 52 220 0 13 Jun 2016
A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI Phi Vu Tran 25 314 0 02 Apr 2016
Revisiting Semi-Supervised Learning with Graph Embeddings Zhilin Yang William W. Cohen Ruslan Salakhutdinov GNN SSL 133 2,081 0 29 Mar 2016
LINE: Large-scale Information Network Embedding Jian Tang Meng Qu Mingzhe Wang Ming Zhang Jun Yan Qiaozhu Mei GNN 84 5,315 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 387 149,474 0 22 Dec 2014
Embedding Entities and Relations for Learning and Inference in Knowledge Bases Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng NAI 49 3,174 0 20 Dec 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 187 9,735 0 26 Mar 2014