GitHub

Graph Neural Network-Based Anomaly Detection (GNNAD)

gnnad is a package for anomaly detection on multivariate time series data. This model builds on the recently-proposed Graph Deviation Network (GDN) 1, a graph neural network model that uses embeddings ...
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 ...
IEEE

Graph Oriented Attention Networks

Abstract: Graph Attention Networks (GAT) is a type of neural network architecture designed to effectively model and process data represented as graphs. GATs leverage the concept of attention ...

TANCET MBA 2026 Syllabus, Check Subject-Wise Important Topics

Learn about the TANCET MBA syllabus 2026, including subject-wise topics, pattern, exam strategies, and other details.
Medical Dialogues

NTA notifies subject-wise NEET 2026 syllabus, check complete details here

The National Testing Agency (NTA) has issued the subject wise NEET 2026 syllabus on this website soon after the NMC released ...
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 ...