Continual representation learning for node classification in power-law graphs.

Gianfranco Lombardo Agostino Poggi Michele Tomaiuolo

Published in: Future Gener. Comput. Syst. (2022)

Keyphrases

power law
supervised learning
small world
decision trees
unsupervised learning
learning algorithm
learning process
degree distribution
learning curves
directed graph
feature vectors
feature space
support vector
classification accuracy
active learning
graph structure
scale free
feature selection