【Hackathon 9th No.106】基于Paddle实现符号深度学习模型，用于流体力学方程发现 #1250
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…N, VarOGN, and HGN architectures. Add simulation dataset generation and configuration files. Remove outdated symbolic GCN files.
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Thanks for your contribution! |
HydrogenSulfate
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Dec 5, 2025
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- 向index.md、README.md、mkdocs.yaml三个文件中，添加案例链接，这样文档才能被索引和展示
- 提交代码前请安装pre-commit，并且格式化你提交的文件（至少目前看来都是没经过格式化的）
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| # Graph Networks for Physics Discovery (GN) | |||
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| <a href="https://aistudio.baidu.com/projectdetail/9557878" class="md-button md-button--primary" style>AI Studio快速体验</a> | |||
docs/zh/examples/symbolic_gn.md
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| raw_target_data = sim_dataset.get_derivative() # [v, a] for HGN | ||
| else: | ||
| raw_target_data = sim_dataset.get_acceleration() # Acceleration for OGN/VarOGN | ||
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文档里的代码块可以直接从py文件里引用，不需要复制过来，参考其他文档改下吧
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ppsci/arch/__init__.py
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| from ppsci.arch.physx_transformer import PhysformerGPT2 # isort:skip | ||
| from ppsci.arch.sfnonet import SFNONet # isort:skip | ||
| from ppsci.arch.spinn import SPINN # isort:skip | ||
| from ppsci.arch.symbolic_gn import OGN, VarOGN, HGN, get_edge_index # isort:skip |
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get_edge_index 不需要在这里导入，这里仅导入模型类
ppsci/arch/__init__.py
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| "ExtFormerMoECuboid", | ||
| "FNO1d", | ||
| "Generator", | ||
| "get_edge_index", |
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添加回归模型案例