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Temporal Network Embedding with Micro- and Macro-dynamics

Temporal Network Embedding with Micro- and Macro-dynamics

International Conference on Information and Knowledge Management (CIKM), 2019
10 September 2019
Yuanfu Lu
Tianlin Li
C. Shi
Philip S. Yu
Yanfang Ye
    AI4TSAI4CE
ArXiv (abs)PDFHTML

Papers citing "Temporal Network Embedding with Micro- and Macro-dynamics"

43 / 43 papers shown
Title
DyCAF-Net: Dynamic Class-Aware Fusion Network
DyCAF-Net: Dynamic Class-Aware Fusion Network
Md Abrar Jahin
Shahriar Soudeep
M. F. Mridha
Nafiz Fahad
Md. Jakir Hossen
104
0
0
05 Aug 2025
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and OpportunitiesInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Pengfei Jiao
Hongjiang Chen
Xuan Guo
Zhidong Zhao
Dongxiao He
Di Jin
AI4CE
201
1
0
07 May 2025
Enhancing Social Media Rumor Detection: A Semantic and Graph Neural Network Approach for the 2024 Global Election
Liu Yan
Liu Yunpeng
Zhao Liang
193
0
0
03 Mar 2025
A Survey of Link Prediction in Temporal Networks
A Survey of Link Prediction in Temporal Networks
Jiafeng Xiong
Ahmad Zareie
Rizos Sakellariou
AI4TSAI4CE
177
5
0
28 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
AI4TSAI4CE
290
0
0
27 Jan 2025
CLDG: Contrastive Learning on Dynamic Graphs
CLDG: Contrastive Learning on Dynamic GraphsIEEE International Conference on Data Engineering (ICDE), 2023
Yiming Xu
Bin Shi
Teng Ma
Bo Dong
Haoyi Zhou
Qinghua Zheng
299
24
0
19 Dec 2024
DHPrep: Deep Hawkes Process based Dynamic Network Representation
DHPrep: Deep Hawkes Process based Dynamic Network Representation
Ruixuan Han
Hongxiang Li
Bin Xie
107
1
0
27 Oct 2024
State Space Models on Temporal Graphs: A First-Principles Study
State Space Models on Temporal Graphs: A First-Principles Study
Jintang Li
Ruofan Wu
Xinzhou Jin
Boqun Ma
Liang Chen
Zibin Zheng
170
9
0
03 Jun 2024
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
Ziwei Zhao
Fake Lin
Xi Zhu
Zhi Zheng
Tong Xu
Shitian Shen
Xueying Li
Zikai Yin
Enhong Chen
129
15
0
13 May 2024
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous
  Information Network
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network
Chenglin Li
Yuanzhen Xie
Chenyun Yu
Lei Cheng
Bo Hu
Zang Li
Di Niu
137
0
0
11 May 2024
A Comprehensive Survey of Dynamic Graph Neural Networks: Models,
  Frameworks, Benchmarks, Experiments and Challenges
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
ZhengZhao Feng
Rui Wang
TianXing Wang
Mingli Song
Sai Wu
Shuibing He
AI4CE
257
28
0
01 May 2024
A survey of dynamic graph neural networks
A survey of dynamic graph neural networks
Yanping Zheng
Lu Yi
Zhewei Wei
AI4TSAI4CE
160
43
0
28 Apr 2024
Temporal Generalization Estimation in Evolving Graphs
Temporal Generalization Estimation in Evolving Graphs
Bin Lu
Tingyan Ma
Xiaoying Gan
Xinbing Wang
Yunqiang Zhu
Cheng Zhou
Shiyu Liang
153
3
0
07 Apr 2024
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph
  Representation Learning
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation LearningPattern Recognition (Pattern Recogn.), 2024
Dong Chen
Shuai Zheng
Muhao Xu
Zhenfeng Zhu
Yao-Min Zhao
152
7
0
11 Mar 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard
  Negatives
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
Shubham Gupta
Srikanta J. Bedathur
OOD
140
2
0
14 Feb 2024
Continuous-time Graph Representation with Sequential Survival Process
Continuous-time Graph Representation with Sequential Survival Process
Abdulkadir Çelikkanat
Nikolaos Nakis
Morten Morup
122
4
0
20 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for
  Graph Streams
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph StreamsProceedings of the VLDB Endowment (PVLDB), 2023
Chaoyi Chen
Dechao Gao
Yanfeng Zhang
Qiange Wang
Zhenbo Fu
Xuecang Zhang
Junhua Zhu
Yu Gu
Ge Yu
GNN
185
13
0
05 Dec 2023
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
Jintang Li
Jiawang Dan
Ruofan Wu
Jing Zhou
Sheng Tian
...
Changhua Meng
Weiqiang Wang
Yuchang Zhu
Liang Chen
Zibin Zheng
AI4CE
163
0
0
28 Nov 2023
Dynamic Link Prediction for New Nodes in Temporal Graph Networks
Dynamic Link Prediction for New Nodes in Temporal Graph Networks
Xiaobo Zhu
Yan Wu
Qin-Hu Zhang
Zhanheng Chen
Ying He
AI4CE
143
2
0
15 Oct 2023
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding
ForeSeer: Product Aspect Forecasting Using Temporal Graph EmbeddingInternational Conference on Information and Knowledge Management (CIKM), 2023
Zixuan Liu
Gaurush Hiranandani
Kun Qian
E-Wen Huang
Yi Xu
Belinda Zeng
Karthik Subbian
Sheng Wang
AI4TS
224
1
0
07 Oct 2023
On the Evolution of Knowledge Graphs: A Survey and Perspective
On the Evolution of Knowledge Graphs: A Survey and Perspective
Xuhui Jiang
Chengjin Xu
Yinghan Shen
Xun Sun
Lumingyuan Tang
Saizhuo Wang
Zhongwu Chen
Yuanzhuo Wang
Jian Guo
436
18
0
07 Oct 2023
Deep Temporal Graph Clustering
Deep Temporal Graph ClusteringInternational Conference on Learning Representations (ICLR), 2023
Meng Liu
Yue Liu
K. Liang
Wenxuan Tu
Siwei Wang
Sihang Zhou
Xinwang Liu
255
63
0
18 May 2023
$\text{H}^2\text{TNE}$: Temporal Heterogeneous Information Network
  Embedding in Hyperbolic Spaces
H2TNE\text{H}^2\text{TNE}H2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic SpacesInternational Workshop on the Semantic Web (SW), 2023
Qijie Bai
Jiawen Guo
Haiwei Zhang
Chang Nie
Lin Zhang
Xiaojie Yuan
206
3
0
14 Apr 2023
Self-Supervised Temporal Graph learning with Temporal and Structural
  Intensity Alignment
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity AlignmentIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Meng Liu
K. Liang
Bin Xiao
Wenxuan Tu
Sihang Zhou
Xihong Yang
Xinwang Liu
Yue Liu
246
99
0
15 Feb 2023
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node
  Representations
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node RepresentationsLOG IN (LOG IN), 2022
Abdulkadir Çelikkanat
Nikolaos Nakis
Morten Mørup
169
7
0
23 Dec 2022
A Survey on Temporal Graph Representation Learning and Generative
  Modeling
A Survey on Temporal Graph Representation Learning and Generative Modeling
Shubham Gupta
Srikanta J. Bedathur
AI4TSAI4CE
126
8
0
25 Aug 2022
Scaling Up Dynamic Graph Representation Learning via Spiking Neural
  Networks
Scaling Up Dynamic Graph Representation Learning via Spiking Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Jintang Li
Zhouxin Yu
Zulun Zhu
Liang Chen
Qi Yu
Zibin Zheng
Sheng Tian
Ruofan Wu
Changhua Meng
GNN
181
42
0
15 Aug 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Robust Knowledge Adaptation for Dynamic Graph Neural NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Han Li
Changsheng Li
Kaituo Feng
Ye Yuan
Guoren Wang
H. Zha
179
20
0
22 Jul 2022
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Time-aware Dynamic Graph Embedding for Asynchronous Structural EvolutionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yu Yang
Hongzhi Yin
Jiannong Cao
Tong Chen
Quoc Viet Hung Nguyen
Xiaofang Zhou
Lei Chen
187
15
0
01 Jul 2022
CEP3: Community Event Prediction with Neural Point Process on Graph
CEP3: Community Event Prediction with Neural Point Process on GraphLOG IN (LOG IN), 2022
Xuhong Wang
Sirui Chen
Yixuan He
Minjie Wang
Quan Gan
Yupu Yang
Junchi Yan
167
2
0
21 May 2022
A Survey on Graph Representation Learning Methods
A Survey on Graph Representation Learning MethodsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Shima Khoshraftar
A. An
GNNAI4TS
260
177
0
04 Apr 2022
Understanding mobility in networks: A node embedding approach
Understanding mobility in networks: A node embedding approachSigmetrics Performance Evaluation Review (SIGMETRICS), 2021
Matheus F. C. Barros
C. H. G. Ferreira
B. P. Santos
L. A. P. Júnior
Marco Mellia
Jussara M. Almeida
79
0
0
11 Nov 2021
TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent
  Neighbor Aggregation
TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor Aggregation
Ling Chen
Da Wang
Dandan Lyu
Xing Tang
Hongyu Shi
138
0
0
26 Oct 2021
Event Detection on Dynamic Graphs
Event Detection on Dynamic Graphs
Mert Kosan
A. Silva
Sourav Medya
Brian Uzzi
Ambuj K. Singh
169
11
0
23 Oct 2021
Multi-Relation Aware Temporal Interaction Network Embedding
Multi-Relation Aware Temporal Interaction Network Embedding
Ling Chen
Shanshan Yu
Dandan Lyu
Da Wang
AI4TS
109
1
0
09 Oct 2021
ConTIG: Continuous Representation Learning on Temporal Interaction
  Graphs
ConTIG: Continuous Representation Learning on Temporal Interaction GraphsNeural Networks (NN), 2021
Xu Yan
Xiaoliang Fan
Peizhen Yang
Zonghan Wu
Shirui Pan
Longbiao Chen
Yu Zang
Cheng-Yu Wang
160
6
0
27 Sep 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
249
30
0
20 Sep 2021
Temporal Graph Network Embedding with Causal Anonymous Walks
  Representations
Temporal Graph Network Embedding with Causal Anonymous Walks Representations
Ilya Makarov
Andrey V. Savchenko
Arseny Korovko
Leonid Sherstyuk
Nikita Severin
Aleksandr Mikheev
Dmitrii Babaev
230
6
0
19 Aug 2021
Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process
  View
Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View
Yu-Jeong Chang
Guannan Liu
Y. Zuo
Junjie Wu
95
3
0
18 May 2021
Dynamic Network Embedding Survey
Dynamic Network Embedding SurveyNeurocomputing (Neurocomputing), 2021
Guotong Xue
Ming Zhong
Jianxin Li
Jia Chen
C. Zhai
Ruochen Kong
AI4TS
151
184
0
29 Mar 2021
A Survey on Embedding Dynamic Graphs
A Survey on Embedding Dynamic GraphsACM Computing Surveys (CSUR), 2021
Claudio D. T. Barros
Matheus R. F. Mendonça
A. Vieira
A. Ziviani
AI4TSAI4CE
242
161
0
04 Jan 2021
A Metric Space for Point Process Excitations
A Metric Space for Point Process ExcitationsJournal of Artificial Intelligence Research (JAIR), 2020
Myrl G. Marmarelis
Greg Ver Steeg
Aram Galstyan
239
1
0
05 May 2020
Modeling Dynamic Heterogeneous Network for Link Prediction using
  Hierarchical Attention with Temporal RNN
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
Hansheng Xue
Luwei Yang
Wen Jiang
Yi Wei
Yitao Hu
Yu Lin
127
80
0
01 Apr 2020
1