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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

26 November 2022
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
    CLL
ArXivPDFHTML

Papers citing "BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning"

12 / 12 papers shown
Title
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
Jongha Lee
Taehyung Kwon
Heechan Moon
Kijung Shin
AI4TS
36
0
0
01 Apr 2025
AGALE: A Graph-Aware Continual Learning Evaluation Framework
AGALE: A Graph-Aware Continual Learning Evaluation Framework
Tianqi Zhao
Alan Hanjalic
Megha Khosla
14
1
0
03 Jun 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
20
5
0
09 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
CaT: Balanced Continual Graph Learning with Graph Condensation
CaT: Balanced Continual Graph Learning with Graph Condensation
Yilun Liu
Ruihong Qiu
Zi Huang
DD
14
37
0
18 Sep 2023
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
126
91
0
17 Jan 2022
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and
  Structural Role-based Node Embeddings
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings
Benedek Rozemberczki
Rik Sarkar
109
52
0
08 Jan 2021
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks
Yujiang He
Bernhard Sick
CLL
31
38
0
04 Jan 2021
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
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
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
182
731
0
03 Sep 2019
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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