GitHub

Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models

📢 [2026/02] CTINexus was presented as a tutorial at the PRISM Workshop (Co-located with NDSS). 📦 [2025/10] CTINexus Python package released! Install with pip install ctinexus for seamless ...
IEEE

Graph-Based Visualization and Fault Diagnosis in Large-Scale Industrial Sensor Networks Using KNN-Constructed Graph Neural Networks(GNN)-A Approach Synthetic Dataset

Abstract: In this study, we present a scalable method for modeling and visualizing large-scale industrial sensor networks using Graph Neural Network (GNN) principles. By applying the K-Nearest ...
XDA Developers on MSN

I finally started using Python in Excel and I should have sooner

Python in Excel is a game-changer ...
IEEE

Multi-View Aligned Clustering Via Sample-Bundled Optimization: Anchor Graph Enhancement and Contrastive Propagation

Abstract: Multi-view representation is powerful to capture the complex characteristics of real-world data by integrating complementary information from various modalities. However, in many use cases, ...
Hosted on MSN

Using multiple transformations to graph an absolute value equation

👉 Learn about graphing absolute value equations. An absolute value equation is an equation having the absolute value sign and the value of the equation is always positive. The graph of the parent ...
dbta

Memgraph’s Atomic GraphRAG Speeds Up the Use of Graph-Based RAG Across Multiple Data Sources

Memgraph, a leader in open-source, in-memory graph databases, is introducing a new capability designed to accelerate business adoption of graph-based retrieval-augmented generation (GraphRAG), Atomic ...