Cover Image

Graph Neural Networks on Graph Databases

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lopushanskyy, Dmytro, Shi, Borun
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases
by: Clemedtson, Alfred, et al.
Published: (2025)

Privacy-Preserved Neural Graph Databases
by: Hu, Qi, et al.
Published: (2023)

Top Ten Challenges Towards Agentic Neural Graph Databases
by: Bai, Jiaxin, et al.
Published: (2025)

View-based Explanations for Graph Neural Networks
by: Chen, Tingyang, et al.
Published: (2024)

Generating Robust Counterfactual Witnesses for Graph Neural Networks
by: Qiu, Dazhuo, et al.
Published: (2024)

gHAWK: Local and Global Structure Encoding for Scalable Training of Graph Neural Networks on Knowledge Graphs
by: Sabir, Humera, et al.
Published: (2025)

Relational Database Distillation: From Structured Tables to Condensed Graph Data
by: Gao, Xinyi, et al.
Published: (2025)

Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study
by: Merkel, Nikolai, et al.
Published: (2024)

Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
by: Liao, Ningyi, et al.
Published: (2024)

Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
by: Schwabe, Tim, et al.
Published: (2023)

Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs
by: Hu, Qi, et al.
Published: (2024)

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks
by: Li, Haoyang, et al.
Published: (2025)

Accelerating Storage-Based Training for Graph Neural Networks
by: Jang, Myung-Hwan, et al.
Published: (2026)

Higher-Order Graph Databases
by: Besta, Maciej, et al.
Published: (2025)

Griffin: Towards a Graph-Centric Relational Database Foundation Model
by: Wang, Yanbo, et al.
Published: (2025)

Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
by: Bas, Sumeyye, et al.
Published: (2024)

GNN: Graph Neural Network and Large Language Model for Data Discovery
by: Hoang, Thomas
Published: (2024)

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
by: Färber, Michael, et al.
Published: (2025)

EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
by: Merkel, Nikolai, et al.
Published: (2026)

Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks
by: Niro, Alessandro, et al.
Published: (2024)

GDS Agent for Graph Algorithmic Reasoning
by: Shi, Borun, et al.
Published: (2025)

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
by: Zhu, Qiuyu, et al.
Published: (2024)

Graph2Region: Efficient Graph Similarity Learning with Structure and Scale Restoration
by: Liu, Zhouyang, et al.
Published: (2025)

The Duck's Brain: Training and Inference of Neural Networks in Modern Database Engines
by: Schüle, Maximilian E., et al.
Published: (2023)

Empowering Domain-Specific Language Models with Graph-Oriented Databases: A Paradigm Shift in Performance and Model Maintenance
by: Di Pasquale, Ricardo, et al.
Published: (2024)

Gaussian Relational Graph Transformer
by: Ding, Zezhong, et al.
Published: (2026)

In-Database Data Imputation
by: Perini, Massimo, et al.
Published: (2024)

MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version)
by: Liu, Hengyu, et al.
Published: (2025)

Interpreting Graph Inference with Skyline Explanations
by: Qiu, Dazhuo, et al.
Published: (2025)

Predictive Query-based Pipeline for Graph Data
by: Neto, Plácido A Souza
Published: (2024)

Graph-based Active Learning for Entity Cluster Repair
by: Christen, Victor, et al.
Published: (2024)

Selecting Walk Schemes for Database Embedding
by: Lubarsky, Yuval Lev, et al.
Published: (2024)

Trading Vector Data in Vector Databases
by: Cheng, Jin, et al.
Published: (2025)

Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases
by: Alam, Md. Tanvir, et al.
Published: (2025)

Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs
by: Yang, Yichun, et al.
Published: (2026)

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets
by: Qiao, Lianpeng, et al.
Published: (2025)

Database Views as Explanations for Relational Deep Learning
by: Rissaki, Agapi, et al.
Published: (2025)

Incorporating Deep Learning Design in Database Queries
by: Lubarsky, Yuval Lev, et al.
Published: (2026)

The Case for Instance-Optimized LLMs in OLAP Databases
by: Mohammadi, Bardia, et al.
Published: (2025)

A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs
by: Wang, Yun, et al.
Published: (2024)