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Smart contract vulnerability detection using graph neural network (DR-GCN).

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https://github.com/Messi-Q/GraphDeeSmartContract/blob/9da153e31c090c6ec95af4d618b0794661830971/graph_extractor_example/graph2vec.py#L4 `reentrancy` seems to be missing from the source code. And, how can I process the other datasets? How to get vectors for other source codes?

Is full_nodes the graph data before graph normalization?

how to generate embeddings using your library if my input is in grapson(json) or graphml(xml) format?

training_data hasn't been defined

Getting RuntimeError when running python SMVulDetector.py --dataset REENTRANCY_CORENODES_1671 --model gcn_modify --n_hidden 192 --lr 0.001 -f 64,64,64 --dropout 0.1 --epochs 50 --lr_decay_steps 10,20 RuntimeError: An attempt has been made to start...

RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase. This probably means that you are not using fork to...

your example don not show how to grate the final dataset you use