Graph Neural Networks (GNNs) have recently achieved significant success in processing non-Euclidean datasets, such as social and protein-protein interaction networks. However, these datasets often ...

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Graph neural networks (GNNs) are recognized as a significant methodology for handling graph-structure data. However, with the increasing prevalence of learning scenarios involving multiple graphs, ...

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The infer_shapes call creates a blank graph. I export microsoft/Phi-3-mini-4k-instruct from the HF hub using torch.onnx.export with training mode on. Since the model is >2GB, it exports with external ...