Graph continual learning with debiased lossless memory replay

Real-life graph data often expands continually, rendering the learning of graph neural networks (GNNs) on static graph data impractical. Graph continual learning (GCL) tackles this problem by continually adapting GNNs to the expanded graph of the current task while maintaining the performance over t...

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Bibliographic Details
Main Authors: NIU, Chaoxi, PANG, Guansong, CHEN, Ling
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/9911
https://ink.library.smu.edu.sg/context/sis_research/article/10911/viewcontent/FAIA_392_FAIA240692.pdf
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Institution: Singapore Management University
Language: English
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