IEEE

Graph Neural Networks: Architectures, Applications, and Future Directions

Abstract: In recent years, deep learning has revolutionized fields such as computer vision, speech recognition, and natural language processing, primarily through techniques applied to data in ...
IEEE

Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion

Abstract: A vast amount of textual and structural information is required for knowledge graph construction and its downstream tasks. However, most of the current knowledge graphs are incomplete due to ...
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 ...
GitHub

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...