基于GNN图神经网络预测（Python完整源码数据包）

# PPNP and APPNP <p align="center"> <img src="https://raw.githubusercontent.com/gasteigerjo/ppnp/master/ppnp_model.svg?sanitize=true" width="600"> </p> TensorFlow and PyTorch implementations of the model proposed in the paper: **[Predict then Propagate: Graph Neural Networks meet Personalized PageRank](https://www.daml.in.tum.de/ppnp)** by Johannes Gasteiger, Aleksandar Bojchevski, Stephan Günnemann Published at ICLR 2019. Note that the author's name has changed from Johannes Klicpera to Johannes Gasteiger. ## Run the code The easiest way to get started is by looking at the notebook `simple_example_tensorflow.ipynb` or `simple_example_pytorch.ipynb`. The notebook `reproduce_results.ipynb` shows how to reproduce the results from the paper. ## Requirements The repository uses these packages: ``` numpy scipy tensorflow>=1.6,<2.0 pytorch>=1.5 ``` You can install all requirements via `pip install -r requirements.txt`. However, in practice you will only need either TensorFlow or PyTorch, depending on which implementation you use. If you use the `networkx_to_sparsegraph` method for importing other datasets you will additionally need NetworkX. ## Installation To install the package, run `python setup.py install`. ## Datasets In the `data` folder you can find several datasets. If you want to use other (external) datasets, you can e.g. use the `networkx_to_sparsegraph` method in `ppnp.data.io` for converting NetworkX graphs to our SparseGraph format. The Cora-ML graph was extracted by Aleksandar Bojchevski, and Stephan Günnemann. *"Deep gaussian embedding of attributed graphs: Unsupervised inductive learning via ranking."* ICLR 2018, while the raw data was originally published by Andrew Kachites McCallum, Kamal Nigam, Jason Rennie, and Kristie Seymore. *"Automating the construction of internet portals with machine learning."* Information Retrieval, 3(2):127–163, 2000. The Citeseer graph was originally published by Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, and Tina Eliassi-Rad. *"Collective Classification in Network Data."* AI Magazine, 29(3):93–106, 2008. The PubMed graph was originally published by Galileo Namata, Ben London, Lise Getoor, and Bert Huang. *"Query-driven Active Surveying for Collective Classification"*. International Workshop on Mining and Learning with Graphs (MLG) 2012. The Microsoft Academic graph was originally published by Oleksandr Shchur, Maximilian Mumme, Aleksandar Bojchevski, Stephan Günnemann. *"Pitfalls of Graph Neural Network Evaluation"*. Relational Representation Learning Workshop (R2L), NeurIPS 2018. ## Contact Please contact j.gasteiger@in.tum.de in case you have any questions. ## Cite Please cite our paper if you use the model or this code in your own work: ``` @inproceedings{gasteiger_predict_2019, title = {Predict then Propagate: Graph Neural Networks meet Personalized PageRank}, author = {Gasteiger, Johannes and Bojchevski, Aleksandar and G{\"u}nnemann, Stephan}, booktitle={International Conference on Learning Representations (ICLR)}, year = {2019} } ```