Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks

13 October 2024

Papers citing "Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks"

26 / 26 papers shown

Title
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu Matthias Fey Hongyu Ren Maho Nakata Yuxiao Dong J. Leskovec AI4CE 72 413 0 17 Mar 2021
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 88 283 0 27 Oct 2020
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 159 61 0 20 Oct 2020
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement Mohamed Ali Souibgui Yousri Kessentini GAN 52 107 0 17 Oct 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference Hao Zhang Bo Chen Yulai Cong D. Guo Hongwei Liu Mingyuan Zhou BDL 57 28 0 15 Jun 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 129 399 0 23 Apr 2020
Semi-Implicit Graph Variational Auto-Encoders Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 77 131 0 19 Aug 2019
Convolutional Poisson Gamma Belief Network Chaojie Wang Bo Chen Sucheng Xiao Mingyuan Zhou 61 15 0 14 May 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 105 202 0 24 Apr 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 244 3,182 0 19 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 783 8,566 0 03 Jan 2019
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 82 128 0 28 May 2018
Constrained Graph Variational Autoencoders for Molecule Design Qi Liu Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt BDL 77 456 0 23 May 2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling Hao Zhang Bo Chen D. Guo Mingyuan Zhou BDL 73 118 0 04 Mar 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 105 1,941 0 27 Feb 2018
NeVAE: A Deep Generative Model for Molecular Graphs Bidisha Samanta A. De G. Jana P. Chattaraj Niloy Ganguly Manuel Gomez Rodriguez GNN DRL BDL DiffM 63 218 0 14 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 120 852 0 09 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,592 0 21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 659 29,154 0 09 Sep 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 263 9,800 0 26 Mar 2014
Negative Binomial Process Count and Mixture Modeling Mingyuan Zhou Lawrence Carin 94 205 0 15 Sep 2012
PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation Andreas Klöckner Nicolas Pinto Yunsup Lee Bryan Catanzaro Paul Ivanov A. Fasih 106 559 0 18 Nov 2009