IEEE

Application of a Dynamic Line Graph Neural Network for Intrusion Detection With Semisupervised Learning

Abstract: Deep learning (DL) greatly enhances binary anomaly detection capabilities through effective statistical network characterization; nevertheless, the intrusion class differentiation ...
Analytics Insight

Top 10 Must-Know Python Libraries for Data Science in 2026

Overview NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into ...
GitHub

LLMRec: Large Language Models with Graph Augmentation for Recommendation

# LLMRec python ./main.py # w/o-u-i python ./main.py --aug_sample_rate=0.0 # w/o-u python ./main.py --user_cat_rate=0 # w/o-u&i python ./main.py --user_cat_rate=0 ...
IEEE

Graph-Based Representation of Verilog HDL: Python-Based Control and Data Flow Graph Generation

Abstract: This paper proposes an automatic framework for controlled data flow graph (CDFG) generation from verilog designs, where the generated CDFGs can be applied to visualization, formal ...