GitHub

TensorFlow GNN

This library is an OSS port of a Google-internal library used in a broad variety of contexts, on homogeneous and heterogeneous graphs, and in conjunction with other scalable graph mining tools. For ...
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

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 ...
PCMag on MSN

These 47 expert Excel tricks will transform you into a power user

Microsoft's spreadsheet program can do way more than you might imagine. These are the hacks and tricks you need to know.
GitHub

NVIDIA Context Aware RAG

Context Aware RAG is a flexible library designed to seamlessly integrate into existing data processing workflows to build customized data ingestion and retrieval (RAG) pipelines. With Context Aware ...