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Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks

3 August 2019
Srijan Kumar
Xikun Zhang
J. Leskovec
    AI4TS
ArXivPDFHTML

Papers citing "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

22 / 22 papers shown
Title
Rethinking Time Encoding via Learnable Transformation Functions
Rethinking Time Encoding via Learnable Transformation Functions
Xi Chen
Yateng Tang
Jiarong Xu
Jiawei Zhang
Siwei Zhang
Sijia Peng
Xuehao Zheng
Yun Xiong
AI4TS
121
0
0
01 May 2025
Evaluating link prediction: New perspectives and recommendations
Evaluating link prediction: New perspectives and recommendations
Bhargavi Kalyani I
A Rama Prasad Mathi
Niladri Sett
18
0
0
18 Feb 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
Xiang Wu
Miao Hu
Rong-Hua Li
Kangfei Zhao
Guoren Wang
AI4TS
AI4CE
88
0
0
27 Jan 2025
THeGCN: Temporal Heterophilic Graph Convolutional Network
THeGCN: Temporal Heterophilic Graph Convolutional Network
Yuchen Yan
Yuzhong Chen
Huiyuan Chen
Xiaoting Li
Zhe Xu
Zhichen Zeng
Lihui Liu
Zhining Liu
Hanghang Tong
103
1
0
21 Dec 2024
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
165
0
0
15 Dec 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li
Yuan Gao
Jinda Lu
Sihang Li
Congcong Wen
Hui Lin
Xiang Wang
73
2
0
09 Oct 2024
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
Yuanchen Bei
Sheng Zhou
Jinke Shi
Yao Ma
Haishuai Wang
Jiajun Bu
62
1
0
25 Apr 2024
Hierarchical Temporal Convolutional Networks for Dynamic Recommender
  Systems
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
Jiaxuan You
Yichen Wang
Aditya Pal
Pong Eksombatchai
C. Rosenberg
J. Leskovec
40
125
0
08 Apr 2019
Representation Learning over Dynamic Graphs
Representation Learning over Dynamic Graphs
Rakshit S. Trivedi
Mehrdad Farajtabar
P. Biswal
H. Zha
AI4TS
AI4CE
41
51
0
11 Mar 2018
Community Interaction and Conflict on the Web
Community Interaction and Conflict on the Web
Srijan Kumar
William L. Hamilton
J. Leskovec
Dan Jurafsky
49
338
0
09 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
131
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
46
916
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
28
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
109
1,970
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
42
366
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
51
475
0
16 May 2017
Graph Embedding Techniques, Applications, and Performance: A Survey
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal
Emilio Ferrara
GNN
AI4TS
78
1,723
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
24
470
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
35
102
0
13 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
145
10,800
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
58
239
0
08 Jul 2015
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
53
150
0
05 Apr 2012
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