Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education
This is the GitHub repo for the paper submission.
TutorQA: TutorQA dataset, containing 6 tasks.
fusion_results: The results in txt format from Graphusion framework.
Graphusion: Python script for Graphusion implementation.
Link Prediction: Python script for Graphusion - Link Prediction module implementation:
-
src: Zero-shot and Ablation study code. Run with >>python xxxx.py. We include LLaMa, GPT code. -
simple_baselines_src: Simple classifier baseline source code. -
supervised_baselines_src: GCN-based models for supervised methods. Check the readme for more information. -
embedding_src: code and embedding for applying LLaMa and GPT models. -
RAG_src: Source code for RAG settings.
concept_data: text and labeled data used in the experiments.
data_generator: helpful code for making and cleaning TutorQA benchmark.