BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

In this paper, we propose a marginalized graph autoencoder with subspace structure preserving, which adds a self-expressive layer to reveal the clustering structure of node attributes based on the ...

The first step is to clean and structure ... information. The data is then converted into a format suitable for AI algorithms, such as numerical values, vectors or graphs. Data structuring ...

In additional, the structural and attribute features are not effectively integrated. In this paper, we propose a novel framework named Hybrid Structure Encoding Graph neural networks with Attention ...

Javascript Data Structure & TypeScript Data Structure. Heap, Binary Tree, Red Black Tree, Linked List, Deque, Trie, HashMap, Directed Graph, Undirected Graph, Binary ...

Javascript Data Structure & TypeScript Data Structure. Heap, Binary Tree, Red Black Tree, Linked List, Deque, Trie, HashMap, Directed Graph, Undirected Graph, Binary ...