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

This is a survey paper on the second largest eigenvalue λ₂ of the adjacency matrix of a graph. Among the topics presented are the graphs with small λ₂, bounds for λ₂, algebraic connectivity, graphs ...

Tables serve as essential structures for organizing and conveying structured information across a wide range of domains. Early methods for table structure recognition often model a table either as a ...

An implementation of data structures and algorithms in C, including intrusive linked list, generic vector, hash table, index priority queue, adjacency list representation of graph, and so on.

Dynamic Adjacency Matrix Learning and Multi-Order Random Walk Aggregation for Alzheimer’s Disease Diagnosis From Resting-State fMRI Alzheimer’s disease (AD) is a progressive, irreversible ...