Use graph mining techniques to learn subgraphs from existing graph datasets and use as features for classification or clustering in previously established algorithms from Sprints 1 and 2.
DoD
Jupyter notebook showing results of using gBoost and gSpan on graphs from HBN or HNU dataset by May 1st (techniques subject to change).
Jupyter notebook showing integration of subgraph feature learning into data matrix generator from Sprint 1 by May 1st.
Description:
Use graph mining techniques to learn subgraphs from existing graph datasets and use as features for classification or clustering in previously established algorithms from Sprints 1 and 2.
DoD