RIM: Reliable Influence-based Active Learning on Graphs.
This repository is the official implementation of RIM.
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 RIM.py
Results
- Accuracy comparison:
- GCN performance comparison:
- LP performance comparison:
- Budget performance comparison:
- Efficiency comparison:
- Interpretability: