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Learning Dynamic Embeddings from Temporal Interactions

Learning Dynamic Embeddings from Temporal Interactions

6 December 2018
Srijan Kumar
Xikun Zhang
J. Leskovec
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Learning Dynamic Embeddings from Temporal Interactions"

15 / 15 papers shown
Title
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
The Block Point Process Model for Continuous-Time Event-Based Dynamic
  Networks
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks
Ruthwik R. Junuthula
Maysam Haghdan
Kevin S. Xu
Vijay Devabhaktuni
136
31
0
29 Nov 2017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE,
  and node2vec
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
J. Qiu
Yuxiao Dong
Hao Ma
Jian Li
Kuansan Wang
Jie Tang
80
918
0
09 Oct 2017
Continuous-Time Relationship Prediction in Dynamic Heterogeneous
  Information Networks
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks
Sina Sajadmanesh
Sogol Bazargani
Jiawei Zhang
Hamid R. Rabiee
AI4TS
41
24
0
30 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
174
1,980
0
17 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
369
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
Anyone Can Become a Troll: Causes of Trolling Behavior in Online
  Discussions
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions
Justin Cheng
Michael S. Bernstein
Cristian Danescu-Niculescu-Mizil
J. Leskovec
73
471
0
03 Feb 2017
Deep Coevolutionary Network: Embedding User and Item Features for
  Recommendation
Deep Coevolutionary Network: Embedding User and Item Features for Recommendation
H. Dai
Yichen Wang
Rakshit S. Trivedi
Le Song
GNN
48
102
0
13 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
COEVOLVE: A Joint Point Process Model for Information Diffusion and
  Network Co-evolution
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar
Yichen Wang
Manuel Gomez Rodriguez
Shuang Li
H. Zha
Le Song
78
241
0
08 Jul 2015
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
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
Fast ALS-based tensor factorization for context-aware recommendation
  from implicit feedback
Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback
Balázs Hidasi
D. Tikk
CML
70
150
0
05 Apr 2012
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