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Arxiv
2d
268
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TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
- The research paper proposes TOUCHUP-G, a method to enhance the node features acquired from Pretrained Models (PMs) for downstream graph tasks.
- TOUCHUP-G is applicable to any downstream graph task, including link prediction in recommender systems.
- It can improve features of any modality like images, texts, and audio.
- TOUCHUP-G effectively shrinks the discrepancy between the graph structure and node features, achieving state-of-the-art results on real-world datasets.
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