DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks

12 March 2021

Papers citing "DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks"

19 / 19 papers shown

Title
GMAN: A Graph Multi-Attention Network for Traffic Prediction Chuanpan Zheng Xiaoliang Fan Cheng-Yu Wang Jianzhong Qi AI4TS AI4CE 75 1,359 0 11 Nov 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 39 184 0 26 Aug 2019
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks Srijan Kumar Xikun Zhang J. Leskovec AI4TS 42 724 0 03 Aug 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 76 895 0 30 Apr 2019
Outlier Aware Network Embedding for Attributed Networks S. Bandyopadhyay N. Lokesh M. Murty 41 92 0 19 Nov 2018
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning Palash Goyal Sujit Rokka Chhetri A. Canedo 54 399 0 07 Sep 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 48 1,912 0 27 Feb 2018
SimplE Embedding for Link Prediction in Knowledge Graphs Seyed Mehran Kazemi David Poole 61 710 0 13 Feb 2018
Introduction to Tensor Decompositions and their Applications in Machine Learning Stephan Rabanser Oleksandr Shchur Stephan Günnemann AI4CE 32 206 0 29 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 296 19,902 0 30 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 87 1,786 0 22 Sep 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 93 3,541 0 21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 424 28,795 0 09 Sep 2016
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 138 1,350 0 06 Jul 2016
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 64 1,250 0 07 Jun 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 211 9,735 0 26 Mar 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 275 33,445 0 16 Oct 2013
Online Tensor Methods for Learning Latent Variable Models Furong Huang U. Niranjan Mohammad Umar Hakeem Anima Anandkumar 130 54 0 03 Sep 2013
Estimation of Simultaneously Sparse and Low Rank Matrices E. Richard Pierre-André Savalle Nicolas Vayatis 63 203 0 27 Jun 2012