research
∙
04/16/2021
A Study of Graph-Based Approaches for Semi-Supervised Time Series Classification
Time series data play an important role in many applications and their a...
share
research
∙
08/03/2020
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs
Graph Convolutional Networks (GCNs) have proven to be successful tools f...
research
∙
05/24/2019
Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have proven to be successful tools f...
research
∙
08/14/2018
