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Graph Lifelong Learning: A Survey

Graph Lifelong Learning: A Survey

22 February 2022
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
    CLL
    AI4CE
ArXivPDFHTML

Papers citing "Graph Lifelong Learning: A Survey"

33 / 33 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
METANOIA: A Lifelong Intrusion Detection and Investigation System for Mitigating Concept Drift
J. Ying
Tiantian Zhu
Aohan Zheng
Tieming Chen
Mingqi Lv
Yan Chen
31
0
0
03 Jan 2025
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task
  Profiling and Prompting Approach
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
Bing Liu
CLL
21
3
0
14 Oct 2024
Slicing Input Features to Accelerate Deep Learning: A Case Study with
  Graph Neural Networks
Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks
Zhengjia Xu
Dingyang Lyu
Jinghui Zhang
GNN
25
0
0
21 Aug 2024
E-CGL: An Efficient Continual Graph Learner
E-CGL: An Efficient Continual Graph Learner
Jianhao Guo
Zixuan Ni
Yun Zhu
Siliang Tang
CLL
19
0
0
18 Aug 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of
  Brain Networks
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
Jiaxing Miao
Liang Hu
Qi Zhang
LongBing Cao
CLL
34
0
0
27 Jul 2024
Graph Transformers: A Survey
Graph Transformers: A Survey
Ahsan Shehzad
Feng Xia
Shagufta Abid
Ciyuan Peng
Shuo Yu
Dongyu Zhang
Karin Verspoor
AI4CE
23
9
0
13 Jul 2024
Deep-Graph-Sprints: Accelerated Representation Learning in
  Continuous-Time Dynamic Graphs
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs
Ahmad Naser Eddin
Jacopo Bono
David Aparício
Hugo Ferreira
Pedro Ribeiro
P. Bizarro
GNN
21
0
0
10 Jul 2024
LingML: Linguistic-Informed Machine Learning for Enhanced Fake News
  Detection
LingML: Linguistic-Informed Machine Learning for Enhanced Fake News Detection
Jasraj Singh
Fang Liu
Hong Xu
Bee Chin Ng
Wei Zhang
AI4CE
16
0
0
07 May 2024
Acceleration Algorithms in GNNs: A Survey
Acceleration Algorithms in GNNs: A Survey
Lu Ma
Zeang Sheng
Xunkai Li
Xin Gao
Zhezheng Hao
Ling Yang
Wentao Zhang
Bin Cui
GNN
29
3
0
07 May 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
22
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
52
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
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based
  Action Recognition
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition
Wei Wei
Tom De Schepper
Kevin Mets
29
2
0
31 Jan 2024
Balanced Graph Structure Information for Brain Disease Detection
Balanced Graph Structure Information for Brain Disease Detection
F. Febrinanto
Mujie Liu
Feng Xia
13
3
0
30 Dec 2023
Open-World Lifelong Graph Learning
Open-World Lifelong Graph Learning
Marcel Hoffmann
Lukas Galke
A. Scherp
11
4
0
19 Oct 2023
Universal Graph Continual Learning
Universal Graph Continual Learning
Thanh Duc Hoang
Do Viet Tung
Duy-Hung Nguyen
Bao-Sinh Nguyen
Huy Hoang Nguyen
Hung Le
CLL
10
2
0
27 Aug 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
24
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
14
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
9
4
0
07 Feb 2023
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
11
14
0
28 Jan 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
Li Sun
Junda Ye
Hao Peng
Feiyang Wang
Philip S. Yu
CLL
11
30
0
30 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
8
7
0
26 Nov 2022
tegdet: An extensible Python Library for Anomaly Detection using
  Time-Evolving Graphs
tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving Graphs
Simona Bernardi
José Merseguer
Raúl Javierre
AI4TS
11
2
0
17 Oct 2022
Lifelong Learning for Neural powered Mixed Integer Programming
Lifelong Learning for Neural powered Mixed Integer Programming
S. Manchanda
Sayan Ranu
CLL
20
1
0
24 Aug 2022
SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction
SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction
Shuke Zhang
Yan Jin
Tianmeng Liu
Qi Wang
Zhaohui Zhang
Shuliang Zhao
Bo Shan
14
15
0
25 May 2022
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced
  Classes and New Classes
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes
Lukas Galke
Iacopo Vagliano
Benedikt Franke
Tobias Zielke
Marcel Hoffmann
A. Scherp
CLL
16
12
0
20 Dec 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
159
812
0
21 Oct 2021
Overcoming Catastrophic Forgetting in Graph Neural Networks
Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu
Yiding Yang
Xinchao Wang
151
90
0
10 Dec 2020
Line Graph Neural Networks for Link Prediction
Line Graph Neural Networks for Link Prediction
Lei Cai
Jundong Li
Jie Wang
Shuiwang Ji
GNN
127
194
0
20 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
173
907
0
02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
167
1,058
0
13 Feb 2020
Graduate Employment Prediction with Bias
Graduate Employment Prediction with Bias
Teng Guo
Feng Xia
Shi Zhen
Xiaomei Bai
Dongyu Zhang
Zitao Liu
Jiliang Tang
22
25
0
27 Dec 2019
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