dynamic C++ graph data structure. This code is an example of a data structure able to represent dynamic graphs (where you can add or remove edges and vertices efficiently): Adding a node is O(1) ...

Breadth-First Search (BFS) and Depth-First Search (DFS) are graph traversal algorithms that differ in how they visit nodes and what they're best used for: Traversal order: BFS visits nodes in level ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

Graph neural network is a new neural network model in recent years, whose advantage lies in processing graph structure data. In the era of big data, people can collect a large amount of graph data for ...

As an important sub-field in clustering analysis, deep graph clustering is receiving more and more attention from academia and industry. The goal of deep graph clustering is to learn effective ...

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 ...