Abstract: Permutation entropy (PE) is a widely used metric for quantifying the complexity of time series data. Recent efforts have extended PE to graph signals, resulting in the graph permutation ...

Abstract: A shortest distance query is a fundamental operation of various real-time response applications in time-dependent road networks. Unfortunately, existing methods (e.g., G-treelike, 2-hop ...

This project implements an advanced Retrieval Augmented Generation (RAG) workflow chatbot to enhance question-answering accuracy and reduce LLM hallucinations. It leverages LangGraph to create a ...

Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...