Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2503.06990
Cited By
v1
v2 (latest)
TiGer: Self-Supervised Purification for Time-evolving Graphs
10 March 2025
Hyeonsoo Jo
Jongha Lee
Fanchen Bu
Kijung Shin
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"TiGer: Self-Supervised Purification for Time-evolving Graphs"
16 / 16 papers shown
Title
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
Hyeonsoo Jo
Hyunjin Hwang
Fanchen Bu
Soo Yong Lee
Chanyoung Park
Kijung Shin
AAML
112
1
0
10 Jan 2025
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
Jongha Lee
Sunwoo Kim
Kijung Shin
AI4TS
71
4
0
19 Feb 2024
RDGSL: Dynamic Graph Representation Learning with Structure Learning
Siwei Zhang
Yun Xiong
Yao Zhang
Yiheng Sun
Xiangshan Chen
Yizhu Jiao
Yangyong Zhu
NoLa
64
11
0
05 Sep 2023
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning
Jong-whi Lee
Jinhong Jung
56
11
0
02 Nov 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Han Li
Changsheng Li
Kaituo Feng
Ye Yuan
Guoren Wang
H. Zha
71
14
0
22 Jul 2022
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning
Indro Spinelli
Simone Scardapane
Amir Hussain
A. Uncini
FaML
69
84
0
29 Apr 2021
A Survey on Embedding Dynamic Graphs
Claudio D. T. Barros
Matheus R. F. Mendonça
A. Vieira
A. Ziviani
AI4TS
AI4CE
64
132
0
04 Jan 2021
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo
Wei Cheng
Wenchao Yu
Bo Zong
Jingchao Ni
Haifeng Chen
Xiang Zhang
OOD
78
262
0
13 Nov 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi
B. Chamberlain
Fabrizio Frasca
D. Eynard
Federico Monti
M. Bronstein
AI4CE
179
655
0
18 Jun 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
Joakim Skarding
Bogdan Gabrys
Katarzyna Musial
AI4CE
93
236
0
13 May 2020
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
155
711
0
28 Oct 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
94
1,111
0
07 Sep 2019
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
462
0
27 May 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
H. Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
GNN
126
1,079
0
26 Feb 2019
Robust Graph Learning from Noisy Data
Zhao Kang
Haiqi Pan
Guosheng Lin
Zenglin Xu
OOD
NoLa
94
256
0
17 Dec 2018
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
786
132,363
0
12 Jun 2017
1