The CytoCommunity algorithm for TCN indentification can be used in either ... KNN_K: The K value used in the construction of the K nearest neighbor graph (cellular spatial graph) for each sample/image ...

To enhance both the efficiency and accuracy of training, we begin by constructing a feature and topological graph using the k-Nearest Neighbors algorithm, incorporating the structural relationship and ...

we propose a novel GNN pretraining model Neighbor Pair Contrastive Graph Siamese Networks (NPC-GSN) for graph contrast. NPC-GSN expands the dissimilar neighbor’s representation discrepancy and ...

we use qRAM to initialize the quantum state To find the Nearest Higher, we use a Grover-Enhanced Binary Search (GEBS) where each search step is enhanced by Grover’s algorithm (Equation 5). The output ...

Converting a pile of dense vectors into nearest neighbors graphs unlocks the entire ... nearest neighbors index for the CAGRA algorithm in the various different languages supported by cuVS. For more ...