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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| المؤلفون الرئيسيون: | , , |
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| التنسيق: | text |
| اللغة: | English |
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Institutional Knowledge at Singapore Management University
2024
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| الموضوعات: | |
| الوصول للمادة أونلاين: | 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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| المؤسسة: | Singapore Management University |
| اللغة: | English |