The graph highlights the overlap between adjacency-based cell relationships and those validated through significant signaling pathways. (B) Hierarchical clustering heatmap illustrating the connection ...

The proposal of Graph Convolutional Networks (GCN) gives the neural network a better performance to understand graph structure data. Therefore, GCN has a natural advantage in the action recognition ...

Existing aspect-based sentiment classification methods use graph-based models to integrate the syntactic structure of sentences. Although these methods are practical, they give less consideration to ...

This repository contains the code and data used for the paper "Graph Neural Networks For Mapping Variables Between Programs", accepted at ECAI 2023. We present a novel graph program representation ...

AI Powered Knowledge Graph Generator. Contribute to robert-mcdermott/ai-knowledge-graph development by creating an account on GitHub.