[Advisor-advisee_Relationship_Detection] :
We provide the data and code, which implements our algorithm for advisor-advisee detection task.
[Alphabetically_Ordered_Paper_Detection] :
We provide a python file, which implements our method for alphabetically ordered paper detection.
[Inference_of_Extend-type_Citations] :
Within this folder, extra-trees classifier are trained with labeled data, for the detection task of extend-type citations.
[Award_Inference_Task] :
Based on award author information, we conduct award inference experiments, using GNN model, which embed the GeneticFlow graph (or other alternative graphs) and node/edge relevancy into vector representation for downstream academic impact evaluation tasks.