Prune and Distill: A Novel Knowledge Distillation Method for GCNs-Based Recommender Systems
Graph convolutional networks (GCNs)-based recommenders have demonstrated remarkable recommendation performances but suffer from prohibitive computational cost, limiting their practical deployment. Knowledge distillation provides an effective approach to address this challenge by training a compact s...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11014062/ |
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