IEEE

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Abstract: Time series are the primary data type used to record dynamic system measurements and generated in great volume by both physical sensors and online processes (virtual sensors). Time series ...
IEEE

TGformer: A Graph Transformer Framework for Knowledge Graph Embedding

Abstract: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...
GitHub

A rich git commit graph in your terminal, like magic

While some users prefer to use Git via CLI, they often rely on a GUI or feature-rich TUI to view commit logs. Others may find git log --graph sufficient. Personally, I found the output from git log ...
GitHub

AI Powered Knowledge Graph Generator

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...