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INFORMATION GAIN PROPAGATION: A NEW WAY TO GRAPH ACTIVE LEARNING WITH SOFT LABELS.

This repository is the official implementation of IGP.

Requirements

To install requirements:

pip install -r requirements.txt

Training

To train the model(s) in the paper:

cd the “example” data

run the python file IGP.py

Results

  1. Accuracy comparison:

  1. GCN performance comparison in different budget:

  1. Ablation study:

  1. Generalization:

  1. Interpretability:

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Active Learning for GNN (ICLR'22)

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