GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
How-To Geek on MSN

I install these 9 Python tools on every new machine

These are my go-to libraries for Python data crunching.

Malicious PyPI packages give hackers control of Telegram bot servers

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
How-To Geek on MSN

These 7 Python libraries are useful even if you're not a developer

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
IEEE

DTFL: A Digital Twin-Assisted Graph Neural Network Approach for Service Function Chains Failure Localization

Abstract: Cloud computing enables Network Function Virtualization to dynamically provide and deploy network functions (NFs) to meet business-specific requirements. This approach streamlines NFs’ ...
IEEE

An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network

Abstract: Benefiting from the high-temporal resolution of electroencephalogram (EEG), EEG-based emotion recognition has become one of the hotspots of affective computing. For EEG-based emotion ...

7,000 Langflow servers are under attack. LangGraph and LangChain have the same holes

Attackers are actively exploiting path traversal and SQL injection in Langflow, LangGraph, and LangChain — below where your ...
GitHub

Export GPT2 full inference loop to the single ONNX graph.

Such conversion increases inference speed by 30% with compared with pure PyTorch model with cached past-key-value. It allows you to generate a full sequence in one call via your favorite runtime or ...