IEEE

Continuous Graph Learning-Based Self-Adaptation for Multi-Stream Concept Drift

Abstract: Concept drift, characterized by changes in data distribution over time, has always been an inevitable problem in nonstationary data stream environments. Multistream scenarios are ...
IEEE

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks

Abstract: In this work, we develop a family of Aligned Entropic Graph Kernels (AEGK) for graph classification. We commence by performing the Continuous-time Quantum Walk (CTQW) on each graph structure ...
GitHub

Continuous Monte Carlo Graph Search

Code for the Continuous Monte Carlo Graph Search (AAMAS 2024), arXiV Continuous Monte Carlo Graph Search is an extension of MCTS to online planning in environments with continuous state and action ...