Frontiers

Multiple sclerosis clinical forms classification with graph convolutional networks based on brain morphological connectivity

Multiple Sclerosis (MS) is an autoimmune disease that combines chronic inflammatory and neurodegenerative processes underlying different clinical forms of evolution, such as relapsing-remitting, ...
IEEE

iMGC: Interactive Multiple Graph Clustering With Constrained Laplacian Rank

Abstract: Numerous graph clustering methods have been proposed to explore aggregation structures across multiple graphs. In these methods, single-graph features are merely considered or multigraph ...
Frontiers

Multi-view graph convolutional network for cancer cell-specific synthetic lethality prediction

1 Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States 2 College of Pharmacy, The Ohio State University, Columbus, OH, United States Synthetic lethal (SL) ...
IEEE

Community Detection From Multiple Observations: From Product Graph Model to Brain Applications

Abstract: This paper proposes a multilayer graph model for community detection based on multiple observations. This scenario is common when different estimators are used to infer graph edges from ...
GitHub

aryan-at-ul/imgraph

imgraph is a Python library for converting images to graph representations and applying Graph Neural Networks (GNNs) to image analysis tasks. Built on top of PyTorch and PyTorch Geometric, it provides ...
GitHub

jethrocsau/GNN-language-embedded

Scaling and generalizing cross-domain tasks amongst graph datasets remains a challenge due to the variability in node features, edge-based relationships, and the inherit challenges for ...
Scientific Research Publishing

Point Cloud Classification Network Based on Graph Convolution and Fusion Attention Mechanism ()

The classification of point cloud data is the key technology of point cloud data information acquisition and 3D reconstruction, which has a wide range of applications. However, the existing point ...