graph active learning
a benchmark study of active learning on graphs
- Course project for 2020 Fall COMP 596 Network Science
- We studied common active learning algorithms on graphs and measured their impact on node classification performance of GCN and Simplified GCN (SGC) on several benchmark datasets
- We proposed a new type of active learning algorithm that showed superior to or on par with competitors across different datasets
- Project report available here