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Dynamic Graph Representation Learning with Neural Networks: A Survey

Dynamic Graph Representation Learning with Neural Networks: A Survey

12 April 2023
Leshanshui Yang
Sébastien Adam
Clément Chatelain
    AI4TS
    AI4CE
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Papers citing "Dynamic Graph Representation Learning with Neural Networks: A Survey"

14 / 14 papers shown
Title
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu
Shimin Di
Haoyang Li
Xun Jian
Y. Wang
Lei Chen
CLL
44
0
0
03 Mar 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
He Yu
J. Liu
31
0
0
21 Jan 2025
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Yannis Karmim
Marc Lafon
Raphael Fournier SÑiehotta
Nicolas Thome
23
0
0
26 Sep 2024
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs
Xiaohua Lu
Leshanshui Yang
40
0
0
12 Aug 2024
Temporal receptive field in dynamic graph learning: A comprehensive
  analysis
Temporal receptive field in dynamic graph learning: A comprehensive analysis
Yannis Karmim
Leshanshui Yang
Raphael Fournier SÑiehotta
Clément Chatelain
Sébastien Adam
Nicolas Thome
21
1
0
17 Jul 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training
  Complexity
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
Mucong Ding
Tahseen Rabbani
Bang An
Evan Z Wang
Furong Huang
23
20
0
21 Jun 2024
CAT-Walk: Inductive Hypergraph Learning via Set Walks
CAT-Walk: Inductive Hypergraph Learning via Set Walks
Ali Behrouz
Farnoosh Hashemi
Sadaf Sadeghian
Margo Seltzer
26
16
0
19 Jun 2023
Long-Range Transformers for Dynamic Spatiotemporal Forecasting
Long-Range Transformers for Dynamic Spatiotemporal Forecasting
J. E. Grigsby
Zhe Wang
Nam Nguyen
Yanjun Qi
AI4TS
58
83
0
24 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,554
0
04 May 2021
Dynamic Graph Collaborative Filtering
Dynamic Graph Collaborative Filtering
Xiaohan Li
Mengqi Zhang
Shu Wu
Zheng Liu
Liang Wang
Philip S. Yu
80
66
0
08 Jan 2021
Robust Optimization as Data Augmentation for Large-scale Graphs
Robust Optimization as Data Augmentation for Large-scale Graphs
Kezhi Kong
G. Li
Mucong Ding
Zuxuan Wu
Chen Zhu
Bernard Ghanem
Gavin Taylor
Tom Goldstein
87
74
0
19 Oct 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
178
907
0
02 Mar 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
29,632
0
16 Jan 2013
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