This is a comprehensive implementation of a Graph-based Retrieval-Augmented Generation (RAG) System that demonstrates and compares multiple graph traversal strategies. The project showcases how ...
This study evaluates graph neural network architectures for multi-omics (MO) data integration based on graph-convolutional networks (GCN), graph-attention networks (GAT), and graph-transformer ...
Abstract: The graph coloring problem, GCP, beyond theoretical interest, it has significant practical importance due to the frequent real-life situations in which problems arise that can be modeled as ...
Abstract: In the modern world, all real-life problems, such as road networks, telecommunication networks, recommendation systems, social network interactions and so on can be modeled using Graph Data ...
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