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Representation Learning in Continuous-Time Dynamic Signed Networks

Representation Learning in Continuous-Time Dynamic Signed Networks

7 July 2022
Kartik Sharma
Mohit Raghavendra
Y. Lee
M. Anandkumar
Srijan Kumar
ArXivPDFHTML

Papers citing "Representation Learning in Continuous-Time Dynamic Signed Networks"

23 / 23 papers shown
Title
Neighborhood-aware Scalable Temporal Network Representation Learning
Neighborhood-aware Scalable Temporal Network Representation Learning
Yu Luo
Pan Li
GNN
AI4TS
50
49
0
02 Sep 2022
POLE: Polarized Embedding for Signed Networks
POLE: Polarized Embedding for Signed Networks
Zexi Huang
A. Silva
Ambuj K. Singh
51
37
0
17 Oct 2021
On the Equivalence Between Temporal and Static Graph Representations for
  Observational Predictions
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions
Jianfei Gao
Bruno Ribeiro
64
11
0
12 Mar 2021
Preventing Extreme Polarization of Political Attitudes
Preventing Extreme Polarization of Political Attitudes
R. Axelrod
Joshua J. Daymude
Stephanie Forrest
25
80
0
11 Mar 2021
Inductive Representation Learning in Temporal Networks via Causal
  Anonymous Walks
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Yanbang Wang
Yen-Yu Chang
Yunyu Liu
J. Leskovec
Pan Li
CML
AI4TS
107
238
0
15 Jan 2021
SDGNN: Learning Node Representation for Signed Directed Networks
SDGNN: Learning Node Representation for Signed Directed Networks
Junjie Huang
Huawei Shen
Liang Hou
Xueqi Cheng
55
89
0
07 Jan 2021
APAN: Asynchronous Propagation Attention Network for Real-time Temporal
  Graph Embedding
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
Xuhong Wang
Ding Lyu
Mengjian Li
Yang Xia
Qi Yang
...
Xinguang Wang
Ping Cui
Yupu Yang
Bowen Sun
Zhenyu Guo
GNN
94
140
0
23 Nov 2020
Masked Label Prediction: Unified Message Passing Model for
  Semi-Supervised Classification
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi
Zhengjie Huang
Shikun Feng
Hui Zhong
Wenjin Wang
Yu Sun
AI4CE
88
786
0
08 Sep 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi
B. Chamberlain
Fabrizio Frasca
D. Eynard
Federico Monti
M. Bronstein
AI4CE
176
643
0
18 Jun 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
102
626
0
19 Feb 2020
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Srijan Kumar
Xikun Zhang
J. Leskovec
AI4TS
68
735
0
03 Aug 2019
Signed Graph Attention Networks
Signed Graph Attention Networks
Junjie Huang
Huawei Shen
Liang Hou
Xueqi Cheng
GNN
51
120
0
26 Jun 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TS
AI4CE
GNN
103
456
0
27 May 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
778
8,533
0
03 Jan 2019
Community Interaction and Conflict on the Web
Community Interaction and Conflict on the Web
Srijan Kumar
William L. Hamilton
J. Leskovec
Dan Jurafsky
71
342
0
09 Mar 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,164
0
30 Oct 2017
Fake News Detection on Social Media: A Data Mining Perspective
Fake News Detection on Social Media: A Data Mining Perspective
Kai Shu
A. Sliva
Suhang Wang
Jiliang Tang
Huan Liu
GNN
EgoV
85
2,782
0
07 Aug 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,247
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
635
29,076
0
09 Sep 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Exploiting Social Network Structure for Person-to-Person Sentiment
  Analysis
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis
Robert West
Hristo S. Paskov
J. Leskovec
Christopher Potts
51
218
0
08 Sep 2014
Distributed Representations of Sentences and Documents
Distributed Representations of Sentences and Documents
Quoc V. Le
Tomas Mikolov
FaML
254
9,242
0
16 May 2014
Signed Networks in Social Media
Signed Networks in Social Media
J. Leskovec
D. Huttenlocher
Jon M. Kleinberg
126
1,478
0
11 Mar 2010
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