Efficient learning of balanced signature graphs
The novel concept of signature graphs extends signed graphs by admitting multiple types of
partial similarity/agreement or dissimilarity/disagreement. Extending the concept of …
partial similarity/agreement or dissimilarity/disagreement. Extending the concept of …
The truncated variational model for image labeling and graph partitioning
Y Li, Y Yang, K Yin, Y Duan, J Yuan - Inverse Problems and …, 2024 - aimsciences.org
Image labeling and graph partitioning aim to divide a set of pixels or vertices into a specific
number of meaningful groups. In this paper, we propose effective truncated regularization …
number of meaningful groups. In this paper, we propose effective truncated regularization …
Variational methods for semi-supervised node classification on signed graphs with multiple classes
T Dittrich - 2023 - repositum.tuwien.at
Semi-supervised node classification is the task of assigning the nodes of a graph to different
classes based on the graph structure and the knowledge of a (small) portion of class …
classes based on the graph structure and the knowledge of a (small) portion of class …