Abstract: Systems and methods for network explainability in accordance with embodiments of the invention are illustrated. In many embodiments, network structures are extracted from tabular data structures. Communities within the network structure can be identified and processed to generate rules that explain relationships in the underlying data. In various embodiments, the rules are translated into natural language for presentation to a user.

Abstract: Systems and methods for extraction of network structures from tabular data structures having numeric features are described. One embodiment includes a method of extracting a network from a tabular data structure having numerical features, comprising obtaining a tabular data structure includes several records, where each record includes several numerical values each associated with a respective numerical feature, calculating pairwise similarities between records based on the several numerical values using a distance function, generating an edge list by sorting the pairwise similarities, extracting a subset of edges from the edge list based on a connectivity threshold, constructing a network structure by generating nodes from records and connecting said nodes using edges from the subset of edges, and visualizing the network structure using a display.

Abstract: Systems and methods for network explainability in accordance with embodiments of the invention are illustrated. In many embodiments, network structures are extracted from tabular data structures. Communities within the network structure can be identified and processed to generate rules that explain relationships in the underlying data. In various embodiments, the rules are translated into natural language for presentation to a user.

Abstract: Systems and methods for natural language querying in accordance with embodiments of the invention are illustrated. One embodiment includes a data visualization system, including a processor, and a memory, the memory including a core grammar library, comprising a list of regular expression-system function pairs, and a natural language query (NLQ) application, where the NLQ application configures the processor to obtain a database from a user, obtain an NLQ directed at the database, parse the NLQ using the core grammar library to identify a system function and a set of one or more parameters, and perform the system function using the set of one or more parameters to visualize at least a portion of the database.