/AMB

Primary LanguagePython

AMB: Works on graph with missing features

Datasets

The data obtained from link is approximate. Code: 92vd

Usage

You can use the following command to run our model.

python main.py

REFERENCES

  1. Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022) -- https://github.com/snudatalab/SVGA.git

  2. Learning on Attribute-Missing Graphs (IEEE 2020) -- https://github.com/xuChenSJTU/SAT-master-online

  3. Bootstrapped Representation Learning on Graphs

  4. Graph Convolutional Neural Networks for Web-Scale Recommender Systems (KDD 2018)

  5. Pitfalls of Graph Neural Network Evaluation

  6. Revisiting Semi-Supervised Learning with Graph Embeddings (ICML 2016)