GitHub

Making Large Language Models Perform Better in Knowledge Graph Completion

Large language model (LLM) based knowledge graph completion (KGC) aims to predict the missing triples in the KGs with LLMs and enrich the KGs to become better web infrastructure, which can benefit a ...
GitHub

[Paper][EMNLP 2025] Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching

This action will output question_decompose_datasets containing user_queries (sub-queries of complex question) field in preprocess_datasets/ folder. This action will output ...
IEEE

Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification

Abstract: In practice, the acquirement of labeled samples for hyperspectral image (HSI) is time-consuming and labor-intensive. It frequently induces the trouble of model overfitting and performance ...
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 ...