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Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification
22 March 2021
Antonio Carta
Andrea Cossu
Federico Errica
D. Bacciu
GNN
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Papers citing
"Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification"
7 / 7 papers shown
Title
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
Seungyoon Choi
Wonjoong Kim
Sungwon Kim
Yeonjun In
Sein Kim
Chanyoung Park
CLL
32
5
0
21 Feb 2024
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su
Difan Zou
Zijun Zhang
Chuan Wu
CLL
OOD
43
18
0
20 Feb 2024
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
43
7
0
26 Nov 2022
Graph Lifelong Learning: A Survey
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLL
AI4CE
39
51
0
22 Feb 2022
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
Andrea Cossu
Antonio Carta
Vincenzo Lomonaco
D. Bacciu
CLL
41
107
0
12 Mar 2021
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
918
0
02 Mar 2020
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
264
3,243
0
24 Nov 2016
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