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Notes on graph neural networks
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MarsCast: Transfer Learning of AI Weather Foundation Models to Planetary Atmospheres
Researchers adapted the GraphCast graph neural network weather forecasting model to Mars, achieving accurate predictions of current conditions with zero-shot training. Fine-tuning improved forecasts by capturing…
PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning
Researchers propose a new framework called PromptGNN-sim to improve the performance of Text-Attributed Graph Learning tasks. The method combines Graph Attention Network (GAT) and Language Model (LLM) in a…
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