Cover Image

Knowledge Graphs: The Future of Data Integration and Insightful Discovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mohamed, Saher, Farah, Kirollos, Lotfy, Abdelrahman, Rizk, Kareem, Saeed, Abdelrahman, Mohamed, Shahenda, Khouriba, Ghada, Arafa, Tamer
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Temporal Graph Memory Networks For Knowledge Tracing
by: Gad, Seif, et al.
Published: (2024)

Does Your Optimizer Care How You Normalize? Normalization-Optimizer Coupling in LLM Training
by: Abouzeid, Abdelrahman
Published: (2026)

Bridging Neural ODE and ResNet: A Formal Error Bound for Safety Verification
by: Sayed, Abdelrahman Sayed, et al.
Published: (2025)

VRU-CIPI: Crossing Intention Prediction at Intersections for Improving Vulnerable Road Users Safety
by: Abdelrahman, Ahmed S., et al.
Published: (2025)

Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
by: Klironomos, Antonis, et al.
Published: (2026)

Rare Class Prediction Model for Smart Industry in Semiconductor Manufacturing
by: Farrag, Abdelrahman, et al.
Published: (2024)

Are LLMs Good Cryptic Crossword Solvers?
by: Sadallah, Abdelrahman, et al.
Published: (2024)

TimeSense: Multi-Person Device-free Indoor Localization via RTT
by: Mohsen, Mohamed, et al.
Published: (2024)

Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2026)

VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild
by: Peng, Puyuan, et al.
Published: (2024)

Decentralized Adversarial Training over Graphs
by: Cao, Ying, et al.
Published: (2023)

Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
by: Santosh, KC, et al.
Published: (2025)

KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2025)

A Unified Perspective for Learning Graph Representations Across Multi-Level Abstractions
by: Amar, Mohamed Mahmoud, et al.
Published: (2026)

3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding
by: Ogunleye, Makanjuola, et al.
Published: (2026)

ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs using Numeric Literals
by: Klironomos, Antonis, et al.
Published: (2025)

ExeKGLib: A Platform for Machine Learning Analytics based on Knowledge Graphs
by: Klironomos, Antonis, et al.
Published: (2025)

Modeling Heterophily in Multiplex Graphs: An Adaptive Approach for Node Classification
by: Abdous, Kamel, et al.
Published: (2026)

Causal Discovery in Linear Models with Unobserved Variables and Measurement Error
by: Yang, Yuqin, et al.
Published: (2024)

Why Don't Prompt-Based Fairness Metrics Correlate?
by: Zayed, Abdelrahman, et al.
Published: (2024)

Should We Attend More or Less? Modulating Attention for Fairness
by: Zayed, Abdelrahman, et al.
Published: (2023)

VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems
by: Lakas, Mohamed, et al.
Published: (2026)

Leveraging Knowlegde Graphs for Interpretable Feature Generation
by: Bouadi, Mohamed, et al.
Published: (2024)

Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge
by: Zhang, Xiaoge, et al.
Published: (2023)

MedInsightBench: Evaluating Medical Analytics Agents Through Multi-Step Insight Discovery in Multimodal Medical Data
by: Zhu, Zhenghao, et al.
Published: (2025)

Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning
by: Sokar, Ghada, et al.
Published: (2025)

AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models
by: Santosh, KC, et al.
Published: (2026)

Learning Displacement-Robust Representations for Landslide Early Warning under Rainfall Forecast Uncertainty
by: Ozeki, Ren, et al.
Published: (2026)

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs
by: Han, Donghee, et al.
Published: (2025)

Causal-Symbolic Meta-Learning (CSML): Inducing Causal World Models for Few-Shot Generalization
by: S, Mohamed Zayaan
Published: (2025)

Knowledge Discovery using Unsupervised Cognition
by: Ibias, Alfredo, et al.
Published: (2024)

Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task
by: Wang, Shurong, et al.
Published: (2024)

Integrating Domain Knowledge for handling Limited Data in Offline RL
by: Gangopadhyay, Briti, et al.
Published: (2024)

Unsupervised Graph Neural Network Framework for Balanced Multipatterning in Advanced Electronic Design Automation Layouts
by: Helaly, Abdelrahman, et al.
Published: (2025)

DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research
by: Wang, Zifeng, et al.
Published: (2025)

MissHDD: Hybrid Deterministic Diffusion for Hetrogeneous Incomplete Data Imputation
by: Zhou, Youran, et al.
Published: (2025)

Dual-Criterion Curriculum Learning: Application to Temporal Data
by: Abel, Gaspard, et al.
Published: (2026)

Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
by: Feng, Yushi, et al.
Published: (2025)

Latent Semantic Manifolds in Large Language Models
by: Mabrok, Mohamed A.
Published: (2026)

Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments
by: Taha, Mohamed A.
Published: (2025)