IEEE

AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning

Abstract: Graph Contrastive Learning (GCL) has emerged as the foremost approach for self-supervised learning on graph-structured data. GCL reduces reliance on labeled data by learning robust ...
GitHub

Data structures

A data structure is a particular way storing and organizing data in a computer for efficient access and modification. Data structures are designed for a specific purpose. Examples include arrays, ...
Frontiers

Semantic and fiducial-aided graph simultaneous localization and mapping (SF-GraphSLAM) for robotic in-space assembly and servicing of large truss structures

Field and Space Experimental Robotics (FASER) Laboratory, Mechanical Engineering Department, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States This article proposes a ...
IEEE

Enhancing Graph Structure Learning via Motif-Driven Hypergraph Construction

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
GitHub

javascript-data-structures

Javascript Data Structure & TypeScript Data Structure. Heap, Binary Tree, Red Black Tree, Linked List, Deque, Trie, HashMap, Directed Graph, Undirected Graph, Binary ...