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Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.

, , , , , , , , , , , and . BCB, page 9:1-9:9. ACM, (2022)

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Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy., and . CoRR, (2022)Evaluating the Community Structures from Network Images Using Neural Networks., and . COMPLEX NETWORKS (1), volume 881 of Studies in Computational Intelligence, page 866-878. Springer, (2019)MarkovGNN: Graph Neural Networks on Markov Diffusion., , and . WWW (Companion Volume), page 1019-1029. ACM, (2022)Distributed Sparse Random Projection Trees for Constructing K-Nearest Neighbor Graphs., , and . IPDPS, page 36-46. IEEE, (2023)GNNfam: utilizing sparsity in protein family predictions using graph neural networks., , and . BCB, page 37:1-37:10. ACM, (2021)High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures., , , and . ICPP Workshops, page 34:1-34:10. ACM, (2018)Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM., , , , and . ASPLOS (2), page 1200-1217. ACM, (2024)Parallel Algorithms for Adding a Collection of Sparse Matrices., , , and . IPDPS Workshops, page 285-294. IEEE, (2022)Distributed-Memory Algorithms for Maximum Cardinality Matching in Bipartite Graphs., and . IPDPS, page 32-42. IEEE Computer Society, (2016)Phenotyping Immune Cells in Tumor and Healthy Tissue Using Flow Cytometry Data., , , , , , and . BCB, page 73-78. ACM, (2018)