Search Results for author:
Found 2 papers, 2 papers with code
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
We compare the results of various models to demonstrate the importance of capturing graph representation, temporal dependencies, and using a profit-driven methodology for evaluation.
Influencer Detection with Dynamic Graph Neural Networks
Leveraging network information for prediction tasks has become a common practice in many domains.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
