CLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional ...

They usually contain rich structure information, and how to effectively extract inherent features of them is of great significance on the determination of function or traits in medicine and biology.

Revise how to recognise and determine the equation of a quadratic function from its graph. BBC Bitesize Scotland revision for SQA National 5 Maths.

ST457 Half Unit Graph Data Analytics and Representation Learning This information is for the 2023/24 session. Teacher responsible ...

README Graph Representations Implement a function that converts an adjacency matrix to an adjacency list for a directed unweighted graph using the template in code.js. Test your new function; I've ...

Recently, Message Passing Neural Networks (MPNNs) have become significant popular frameworks in graph neural networks (GNNs) for solve the graph representation learning(GRL). However, MPNNs overlook ...

Continuous molecular graph representations are highly useful for effective molecule property predictions. However, learning graph-specific structure information remains challenging. Current graph ...