Kalkine Media

Discover KB Home’s Place in the NYSE Composite Housing Space

Explore KB Home’s role in residential construction, sector context, research coverage activity, operational scale, and public ...
IEEE

Integrating Fuzzy Clustering and Graph Convolution Network to Accurately Identify Clusters From Attributed Graph

Abstract: Attributed graph clustering is of significance for an in-depth understanding of the intrinsic organization of complex networks. Recently, owing to the powerful learning capability of deep ...
GitHub

Graph Attention Site Prediction (GrASP)

Fetch a PDB file and try GrASP on it in our Colab demo. In each dataset, ready_to_parse_mol2.zip contains the minimal structure files necessary to predict and evaluate binding sites with a general ...
IEEE

Fast Prediction of Quasi-Periodic Array Using Dynamical Graph Convolutional Neural Networks

Abstract: In this letter, a novel approach based on dynamic graph convolutional neural networks (DGCNNs) is proposed to analyze the quasi-periodic array consisting of the cells with different ...
GitHub

A unified multi-view graph autoencoder-based approach for identifying drug-protein interaction and drug repositioning

Running: python MACC_fingerprint.py -drug_smile_path .KIBA/drugs.xlsx -feature_save_path ./KIBA/drug_features/MACC_features.xlsx python Mogan_fingerprint.py -drug ...
Frontiers

KG2ML: Integrating Knowledge Graphs and Positive Unlabeled Learning for Identifying Disease-Associated Genes

The final, formatted version of the article will be published soon. Background Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among ...