Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...
# Documentation - Class name: Node name - Category: Node category - Output node: False - Repo Ref: https://github.com/xxxx Description of nodes # Input types Node ...
A lightweight, extensible workflow engine built using FastAPI. This backend allows you to define graphs of processing nodes, execute them as workflows, log every step, and retrieve the results via ...
Abstract: Graph data modeling is nontrivial due to the challenges to ensure model interpretability and handle data uncertainty. While methods derived from deep learning models, such as graph neural ...
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