Research advances and challenges on graph foundation model: perspective from graph neural network
Graph foundation model (GFM) represents the extension of foundation model concepts in graph learning. These models were pre-trained on extensive graph data and fine-tuned for various downstream tasks. Unlike current approaches that utilized large language model (LLM) for GFM, the construction of GFM...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2025-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025114/ |
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