timlawrenz/gnn-ruby-code-study

GNN Ruby Code Study Systematic study of Graph Neural Network architectures for Ruby code complexity prediction and generation. Paper: Graph Neural Networks for Ruby Code Complexity Prediction and Generation: A Systematic Architecture Study Dataset 22,452 Ruby methods parsed into AST graphs with 74-dimensional node features. Split Samples File Train 19,084 dataset/train.jsonl Validation 3,368 dataset/val.jsonl Each JSONL record contains:… See the full description on the dataset page: https://huggingface.co/datasets/timlawrenz/gnn-ruby-code-study.