FTC-GNN is a TC-GNN-style framework that combines Tensor Cores and CUDA Cores for sparse GNN kernels, but its claimed AGNN speedup over DGL is contradicted by its own tables.
Graph repre- sentation learning in bioinformatics: trends, methods and applications,
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Accelerating Sparse Graph Neural Networks with Tensor Core Optimization
FTC-GNN is a TC-GNN-style framework that combines Tensor Cores and CUDA Cores for sparse GNN kernels, but its claimed AGNN speedup over DGL is contradicted by its own tables.