A matrix of squid bone and cotton cellulose offers a low-cost, scalable solution to global microplastic poisoning according to a new study from China. Attempting to find a material that would ...
To address these challenges, we thus propose, Multi-level attention graph neural network (MLA-GNN) model for analyzing integrated multi-omics data related to liver cancer. The proposed protocol are ...
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
Abstract: Sparse Matrix-Vector/Matrix Multiplication ... and up to 1.48× speedup against the state-of-the-art open-source algorithm. Integrated with GNN framework, PyG, DA-SpMMul achieves up to 1.22× ...
Abstract: Graph Neural Networks (GNNs) have aroused increasing research attention for their effectiveness on graph mining tasks. However, full-batch training methods based on stochastic gradient ...
That may sound a bit like the plot to the 1999 sci-fi film "The Matrix", said Scientific American, but "philosophers, physicists, technologists and, yes, comedians" have been wrestling with the ...
Note: preprocessing is turned off in all experiment in our main paper. All shaDow-GNN are trained in the minibatch fashion. For each training batch, we first perform subgraph extraction, and then ...
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