This is a re-implementation of the Graph Auto-encoder and Variational Graph Auto-encoder presented here. This implementation is based on Spektral, the Tensorflow-Keras library for Graph Neural ...
Abstract: Disease-gene interaction prediction is crucial for understanding diseases and advancing drug discovery.This project employs GAEs (Graph Autoencoders) to model these interactions by analyzing ...
Abstract: Existing link prediction methods for graph-structured data produce entangled node representations by indiscriminately aggregating neighborhood information. This entanglement of diverse ...
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