Nexus is a powerful Multi-Source Entity Resolution and Graph Engine designed to ingest, resolve, and visualize complex relationships across disparate data sources (e.g., companies, people, addresses, ...

We aim to predict high-resolution (HR) brain connectivity graphs from low-resolution (LR) brain graphs. We leverage a generative Graph Neural Network (GNN), trained in an inductive setting, to ...

Abstract: Temporal link prediction on dynamic graphs has attracted considerable attention. Most methods focus on the graph at each timestamp and extract features for prediction. As graphs are directly ...

Graph-based conflict resolution methods employ mathematical graphs to represent the possible states of a conflict and the moves that decision-makers can enact to transition between these states.

LAS VEGAS--(BUSINESS WIRE)--Graph analytics and entity resolution are crucial for organizations seeking to harness the power of their data. Today, Senzing, Inc., the Smarter Entity Resolution® company ...

Abstract: In this paper we study the problem of inexact weighted graph matching, where the goal is to find the correspondence between the vertices of two similar graphs. We propose a novel ...