Saved in:
| Main Authors: | Nzomo, Mbithe, Moodley, Deshendran |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.13920 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semantic web technologies in sensor-based personal health monitoring systems: A systematic mapping study
by: Nzomo, Mbithe, et al.
Published: (2023)
by: Nzomo, Mbithe, et al.
Published: (2023)
A lightweight Spatial-Temporal Graph Neural Network for Long-term Time Series Forecasting
by: Moges, Henok Tenaw, et al.
Published: (2025)
by: Moges, Henok Tenaw, et al.
Published: (2025)
ChaosNetBench: Benchmarking Spatio-Temporal Graph Neural Networks on Chaotic Lattice Dynamics
by: Moges, Henok Tenaw, et al.
Published: (2026)
by: Moges, Henok Tenaw, et al.
Published: (2026)
Integrating Activity Predictions in Knowledge Graphs
by: Hare, Forrest, et al.
Published: (2025)
by: Hare, Forrest, et al.
Published: (2025)
Scalable and Explainable Enterprise Knowledge Discovery Using Graph-Centric Hybrid Retrieval
by: Rao, Nilima, et al.
Published: (2025)
by: Rao, Nilima, et al.
Published: (2025)
HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs
by: Qudus, Umair, et al.
Published: (2024)
by: Qudus, Umair, et al.
Published: (2024)
Rewarding Explainability in Drug Repurposing with Knowledge Graphs
by: Nunes, Susana, et al.
Published: (2025)
by: Nunes, Susana, et al.
Published: (2025)
Knowledge Graph Augmented Large Language Models for Disease Prediction
by: Wang, Ruiyu, et al.
Published: (2025)
by: Wang, Ruiyu, et al.
Published: (2025)
Reinforcement Learning Approach for Integrating Compressed Contexts into Knowledge Graphs
by: Quach, Ngoc, et al.
Published: (2024)
by: Quach, Ngoc, et al.
Published: (2024)
Chatting with Papers: A Hybrid Approach Using LLMs and Knowledge Graphs
by: Tykhonov, Vyacheslav, et al.
Published: (2025)
by: Tykhonov, Vyacheslav, et al.
Published: (2025)
Explainable Global Wildfire Prediction Models using Graph Neural Networks
by: Chen, Dayou, et al.
Published: (2024)
by: Chen, Dayou, et al.
Published: (2024)
SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)
by: Huang, Zhenhua, et al.
Published: (2024)
Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power Prediction
by: Gijón, Alfonso, et al.
Published: (2025)
by: Gijón, Alfonso, et al.
Published: (2025)
Schema Matching on Graph: Iterative Graph Exploration for Efficient and Explainable Data Integration
by: Jeon, Mingyu, et al.
Published: (2025)
by: Jeon, Mingyu, et al.
Published: (2025)
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks
by: Talluri, Kranthi Kumar, et al.
Published: (2025)
by: Talluri, Kranthi Kumar, et al.
Published: (2025)
FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering
by: Hu, Silan, et al.
Published: (2024)
by: Hu, Silan, et al.
Published: (2024)
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions
by: Kumar-Singh, Niraj, et al.
Published: (2024)
by: Kumar-Singh, Niraj, et al.
Published: (2024)
An Explainable Disease Surveillance System for Early Prediction of Multiple Chronic Diseases
by: Khan, Shaheer Ahmad, et al.
Published: (2025)
by: Khan, Shaheer Ahmad, et al.
Published: (2025)
LLM-Grounded Explainable AI for Supply Chain Risk Early Warning via Temporal Graph Attention Networks
by: Xue, Zhiming, et al.
Published: (2026)
by: Xue, Zhiming, et al.
Published: (2026)
Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks
by: Wei, Yuang, et al.
Published: (2024)
by: Wei, Yuang, et al.
Published: (2024)
Explainable Bayesian Optimization
by: Chakraborty, Tanmay, et al.
Published: (2024)
by: Chakraborty, Tanmay, et al.
Published: (2024)
Knowledge Graph Construction for Stock Markets with LLM-Based Explainable Reasoning
by: Lee, Cheonsol, et al.
Published: (2025)
by: Lee, Cheonsol, et al.
Published: (2025)
A Spatio-Temporal Hybrid Quantum-Classical Graph Convolutional Neural Network Approach for Urban Taxi Destination Prediction
by: Zhang, Xiuying, et al.
Published: (2025)
by: Zhang, Xiuying, et al.
Published: (2025)
Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE
by: Moghaddam, Zahra Zehtabi Sabeti, et al.
Published: (2025)
by: Moghaddam, Zahra Zehtabi Sabeti, et al.
Published: (2025)
Explainable Diagnosis Prediction through Neuro-Symbolic Integration
by: Lu, Qiuhao, et al.
Published: (2024)
by: Lu, Qiuhao, et al.
Published: (2024)
Evaluating Neighbor Explainability for Graph Neural Networks
by: Llorente, Oscar, et al.
Published: (2023)
by: Llorente, Oscar, et al.
Published: (2023)
Explainable Graph Neural Networks Under Fire
by: Li, Zhong, et al.
Published: (2024)
by: Li, Zhong, et al.
Published: (2024)
Empowering GraphRAG with Knowledge Filtering and Integration
by: Guo, Kai, et al.
Published: (2025)
by: Guo, Kai, et al.
Published: (2025)
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
by: Zhu, Yuqicheng, et al.
Published: (2024)
by: Zhu, Yuqicheng, et al.
Published: (2024)
TCKAN:A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients
by: Dong, Fanglin
Published: (2024)
by: Dong, Fanglin
Published: (2024)
Robotic Fire Risk Detection based on Dynamic Knowledge Graph Reasoning: An LLM-Driven Approach with Graph Chain-of-Thought
by: Pan, Haimei, et al.
Published: (2025)
by: Pan, Haimei, et al.
Published: (2025)
Hybrid-DMKG: A Hybrid Reasoning Framework over Dynamic Multimodal Knowledge Graphs for Multimodal Multihop QA with Knowledge Editing
by: Yuan, Li, et al.
Published: (2025)
by: Yuan, Li, et al.
Published: (2025)
BLINKG: A Benchmark for LLM-Integrated Knowledge Graph Generation
by: Castedo, Carla, et al.
Published: (2026)
by: Castedo, Carla, et al.
Published: (2026)
Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
by: Izadi, Mohammad, et al.
Published: (2024)
by: Izadi, Mohammad, et al.
Published: (2024)
Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients
by: Nguycharoen, Nantika
Published: (2024)
by: Nguycharoen, Nantika
Published: (2024)
Parallelizing Node-Level Explainability in Graph Neural Networks
by: Llorente, Oscar, et al.
Published: (2026)
by: Llorente, Oscar, et al.
Published: (2026)
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention
by: Demmler, Tobias, et al.
Published: (2024)
by: Demmler, Tobias, et al.
Published: (2024)
AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
by: Jawad, K M Tawsik, et al.
Published: (2024)
by: Jawad, K M Tawsik, et al.
Published: (2024)
Schema-Aware Planning and Hybrid Knowledge Toolset for Reliable Knowledge Graph Triple Verification
by: Ma, Xinyan, et al.
Published: (2026)
by: Ma, Xinyan, et al.
Published: (2026)
Native Explainability for Bayesian Confidence Propagation Neural Networks: A Framework for Trusted Brain-Like AI
by: Makridis, Georgios, et al.
Published: (2026)
by: Makridis, Georgios, et al.
Published: (2026)
Similar Items
-
Semantic web technologies in sensor-based personal health monitoring systems: A systematic mapping study
by: Nzomo, Mbithe, et al.
Published: (2023) -
A lightweight Spatial-Temporal Graph Neural Network for Long-term Time Series Forecasting
by: Moges, Henok Tenaw, et al.
Published: (2025) -
ChaosNetBench: Benchmarking Spatio-Temporal Graph Neural Networks on Chaotic Lattice Dynamics
by: Moges, Henok Tenaw, et al.
Published: (2026) -
Integrating Activity Predictions in Knowledge Graphs
by: Hare, Forrest, et al.
Published: (2025) -
Scalable and Explainable Enterprise Knowledge Discovery Using Graph-Centric Hybrid Retrieval
by: Rao, Nilima, et al.
Published: (2025)