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 ...
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 ...
Abstract: Cross-modal hashing encodes different modalities of multimodal data into low-dimensional Hamming space for fast cross-modal retrieval. In multi-label cross-modal retrieval, multimodal data ...
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 ...
Static control, surface cleaning and air technology specialist Meech International is hosting a free webinar to showcase practical insights into how to tackle these disruptors in converting, packaging ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback