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Node Embedding over Temporal Graphs
v1v2v3 (latest)

Node Embedding over Temporal Graphs

21 March 2019
Uriel Singer
Ido Guy
Kira Radinsky
ArXiv (abs)PDFHTML

Papers citing "Node Embedding over Temporal Graphs"

21 / 21 papers shown
Title
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
Ashish Parmanand Pandey
Alan John Varghese
Sarang Patil
Mengjia Xu
Mamba
240
0
0
15 Dec 2024
Representation Learning over Dynamic Graphs
Representation Learning over Dynamic Graphs
Rakshit S. Trivedi
Mehrdad Farajtabar
P. Biswal
H. Zha
AI4TSAI4CE
60
51
0
11 Mar 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action
  Recognition
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan
Yuanjun Xiong
Dahua Lin
GNN
241
4,172
0
23 Jan 2018
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
174
1,976
0
17 Sep 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework
  for Traffic Forecasting
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Ting Yu
Haoteng Yin
Zhanxing Zhu
GNNAI4TS
125
3,715
0
14 Sep 2017
Attributed Network Embedding for Learning in a Dynamic Environment
Attributed Network Embedding for Learning in a Dynamic Environment
Jundong Li
Harsh Dani
Xia Hu
Jiliang Tang
Yi-Ju Chang
Huan Liu
73
368
0
06 Jun 2017
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit S. Trivedi
H. Dai
Yichen Wang
Le Song
BDL
76
478
0
16 May 2017
Graph Embedding Techniques, Applications, and Performance: A Survey
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal
Emilio Ferrara
GNNAI4TS
137
1,727
0
08 May 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
644
29,076
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,876
0
03 Jul 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
344
3,283
0
17 Nov 2015
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
145
1,093
0
17 Nov 2015
LINE: Large-scale Information Network Embedding
LINE: Large-scale Information Network Embedding
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
GNN
142
5,334
0
12 Mar 2015
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis
  and Application to Information Retrieval
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval
Hamid Palangi
Li Deng
Yelong Shen
Jianfeng Gao
Xiaodong He
Jianshu Chen
Xinying Song
Rabab Ward
3DVRALM
105
827
0
24 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix
  Factorization
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization
Linhong Zhu
Dong Guo
Junming Yin
Greg Ver Steeg
Aram Galstyan
97
200
0
13 Nov 2014
Graph-based Anomaly Detection and Description: A Survey
Graph-based Anomaly Detection and Description: A Survey
Leman Akoglu
Hanghang Tong
Danai Koutra
OODAI4TS
89
1,398
0
18 Apr 2014
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
257
9,789
0
26 Mar 2014
Can Cascades be Predicted?
Can Cascades be Predicted?
Rediet Abebe
Lada A. Adamic
P. Alex Dow
Jon Kleinberg
Jure Leskovec
61
814
0
18 Mar 2014
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
680
31,512
0
16 Jan 2013
Temporal Link Prediction using Matrix and Tensor Factorizations
Temporal Link Prediction using Matrix and Tensor Factorizations
Daniel M. Dunlavy
T. Kolda
E. Acar
113
536
0
21 May 2010
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