Our proposed framework (Figure 1) embeds protein sequences using ESM-2 and converts predicted structures into Node2Vec-encoded contact graphs. (24) These representations are processed via dual ...

Crime in D.C. and nationwide is declining from pandemic-era spikes. But individual incidents can shake residents and capture the president’s attention.

This project implements a custom Graph Data Structure in Java to solve two real-world problems involving pathfinding. It avoids external libraries and uses only core Java logic for BFS/DFS-based ...

Due to the rapid development of Internet of Things, a large number of data are collected and published. Nevertheless, the process of data publication entails the risk of data privacy disclosure. Most ...

Graph Data Structure and Analysis The extracted nodes (concepts) and edges (relationships) are populated into a graph data structure using in-memory Pandas DataFrames and the NetworkX Python library.

GORAM is a graph-oriented data structure that guarantees robust privacy protection and enables efficient, sub-linear, ego-centric queries on federated graphs. To obtain useful performance even on ...

In light of the growing emphasis on the right to be forgotten of graph data, machine unlearning has been extended to unlearn the graph structures’ knowledge from graph neural networks (GNNs), namely, ...

Graph-Analysis-Project A comprehensive Java application designed to analyze and manipulate graph data structures through the implementation of various algorithms. Developed a comprehensive application ...