A production-ready implementation of Graph Neural Networks for node classification tasks, featuring multiple architectures (GCN, GAT, GraphSAGE, GIN) with comprehensive evaluation and interactive ...
Heterogeneous Graph Transformer is a graph neural network architecture that can deal with large-scale heterogeneous and dynamic graphs. You can see our WWW 2020 paper “Heterogeneous Graph Transformer” ...
To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI ...
MHENet: a multimodal hybrid enhancement network for accurate classification of unsound maize kernels
The high classification accuracy, low computational cost, and strong stability of MHENet make it fully applicable to real-world grain quality inspection systems, such as rapid detection at grain ...
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