https://github.com/lirongwu/ff-g2m
Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework"
https://github.com/lirongwu/ff-g2m
graph-knowledge-distillation graph-neural-networks graph-signal-processing high-frequency-analytics knowledge-distillation
Last synced: 12 months ago
JSON representation
Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework"
- Host: GitHub
- URL: https://github.com/lirongwu/ff-g2m
- Owner: LirongWu
- License: mit
- Created: 2022-11-21T06:38:03.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-07-20T08:09:40.000Z (almost 2 years ago)
- Last Synced: 2025-06-10T19:19:13.656Z (12 months ago)
- Topics: graph-knowledge-distillation, graph-neural-networks, graph-signal-processing, high-frequency-analytics, knowledge-distillation
- Language: Python
- Homepage:
- Size: 69.3 KB
- Stars: 26
- Watchers: 1
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE