pyHGT
Deploys Pytorch Geometric API for efficient analysis of large, dynamic heterogeneous graphs, providing flexible graph neural network solutions functional within varied computational setups. Key highlights include transformer-like convolutional layers and advanced sampling algorithms, perfectly suited for tasks like L2 classification on the Open Academic Graph dataset. Straightforward setup allows adaptation to diverse datasets through simple data interface modification, ensuring broad applicability and robust performance management.
