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Continual Graph Learning: A Survey

Continual Graph Learning: A Survey

28 January 2023
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
    CLL
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Papers citing "Continual Graph Learning: A Survey"

13 / 13 papers shown
Title
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
83
19
0
28 Jan 2025
E-CGL: An Efficient Continual Graph Learner
E-CGL: An Efficient Continual Graph Learner
Jianhao Guo
Zixuan Ni
Yun Zhu
Siliang Tang
CLL
21
0
0
18 Aug 2024
Continual Learning for Smart City: A Survey
Continual Learning for Smart City: A Survey
Li Yang
Zhipeng Luo
Shi-sheng Zhang
Fei Teng
Tian-Jie Li
HAI
27
6
0
01 Apr 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on
  Domain Adaptation, Out-of-distribution, and Continual Learning
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
Man Wu
Xin-Yang Zheng
Qin Zhang
Xiao Shen
Xiong Luo
Xingquan Zhu
Shirui Pan
OOD
62
6
0
26 Feb 2024
Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Xikun Zhang
Dongjin Song
Dacheng Tao
CLL
21
7
0
18 Feb 2024
PUMA: Efficient Continual Graph Learning for Node Classification with
  Graph Condensation
PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
Yilun Liu
Ruihong Qiu
Yanran Tang
Hongzhi Yin
Zi Huang
13
5
0
22 Dec 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous
  networks
DURENDAL: Graph deep learning framework for temporal heterogeneous networks
Manuel Dileo
Matteo Zignani
S. Gaito
37
1
0
30 Sep 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed
  Graph-free Data
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
Xin Zheng
Miao Zhang
C. Chen
Quoc Viet Hung Nguyen
Xingquan Zhu
Shirui Pan
DD
29
35
0
05 Jun 2023
Learning Continually on a Sequence of Graphs -- The Dynamical System Way
Learning Continually on a Sequence of Graphs -- The Dynamical System Way
Krishnan Raghavan
Prasanna Balaprakash
19
0
0
19 May 2023
On the Limitation and Experience Replay for GNNs in Continual Learning
On the Limitation and Experience Replay for GNNs in Continual Learning
Junwei Su
Difan Zou
Chuan Wu
CLL
14
4
0
07 Feb 2023
Overcoming Catastrophic Forgetting in Graph Neural Networks
Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu
Yiding Yang
Xinchao Wang
154
90
0
10 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
154
1,748
0
02 Mar 2017
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