The Future of Python : Here’s What’s Coming & Trends You Can’t Ignore

Discover how Python is evolving in 2025 with new tools, frameworks, and trends shaping AI, data science, and API development.
IEEE

FeCoGraph: Label-Aware Federated Graph Contrastive Learning for Few-Shot Network Intrusion Detection

Abstract: With increasing cyber attacks over the Internet, network intrusion detection systems (NIDS) have been an indispensable barrier to protecting network security. Taking advantage of ...
IEEE

Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition

Abstract: Multi-label image recognition aims to predict a set of labels that present in an image. The key to deal with such problem is to mine the associations between image contents and labels, and ...
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 ...
GitHub

Graph Transformer for Label Placement

This repository is the implementation of the paper: Jingwei Qu, Pingshun Zhang, Enyu Che, Yinan Chen, and Haibin Ling. Graph Transformer for Label Placement. TVCG, 2025. It contains the training and ...