benedekrozemberczki/appnp

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

Benedek A. Rozemberczki/ Homepage / Twitter / GitHub / Google Scholar

Welcome stranger

• ⏰ Currently working on machine learning for drug discovery.
• 🤖 I would love to collaborate on the machine learning libraries ChemicalX and RexMex.

Great news

• 🧬 MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy was accepted at CIKM 2022.
• 🪙 The Shapley Value in Machine Learning was accepted at IJCAI 2022.
• ⭐ A Unified View of Relational Deep Learning for Drug Pair Scoring was accepted at IJCAI 2022.
• ⚗️ ChemicalX: A Deep Learning Library for Drug Pair Scoring was accepted at KDD 2022.

appnp's Issues

Hello, I have installed this torch_sparse package and the version is correct.But I met the issue that there is no module named 'torch_scatter'

GNN layer only one？

This modle just has a GNN_layer？

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About training

Hi, thanks for you sharing your nice work.
I have a question when I run your code. Maybe I misunderstand the main point of this paper. It seems that when you train you model, you do not apply the graph information, which means your network is a normal fully connected network. After training, you apply PageRank to the output of the network when evaluate the model. Is my understanding correct?