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SimilariPy provides a suite of normalization functions for sparse matrix pre-processing. All functions are implemented in Cython and can operate in-place on CSR matrixes for maximum performance and ...

In today’s world, Graph similarity computation (GSC) plays an important role in various applications such as code detection, molecular graph similarity, image matching, etc., by evaluating the ...

In the second stage, Graph Embedding vectors are further optimized for downstream similarity tasks while preserving the graph structural information. The Siamese autoencoder is constructed and trained ...

Sparse Matrix Representation: Utilizes sparse matrices to represent adjacency matrices, optimizing storage and performance. Linear Algebra Querying: Employs linear algebra for query execution, ...

Drug-target interactions (DTIs) prediction plays a vital role in drug discovery and design. Current studies typically use only standard drug similarity and target similarity, but the influence of ...

Drug-target interactions (DTIs) prediction plays a vital role in drug discovery and design. Current studies typically use only standard drug similarity and target similarity, but the influence of ...