Cover Image

NGDB-Zoo: Towards Efficient and Scalable Neural Graph Databases Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Zhongwei, Bai, Jiaxin, Liu, Shujie, Huang, Haoyu, Li, Yufei, Gao, Yisen, Tsang, Hong Ting, Song, Yangqiu
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning
by: Gao, Yisen, et al.
Published: (2026)

DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning
by: Huang, Haoyu, et al.
Published: (2026)

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

AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
by: Tsang, Hong Ting, et al.
Published: (2025)

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM
by: Huang, Haoyu, et al.
Published: (2025)

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

Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model
by: Gao, Yisen, et al.
Published: (2025)

PatchWorld: Gradient-Free Optimization of Executable World Models
by: Bai, Jiaxin, et al.
Published: (2026)

TERAG: Token-Efficient Graph-Based Retrieval-Augmented Generation
by: Xiao, Qiao, et al.
Published: (2025)

Towards Subgraph Isomorphism Counting with Graph Kernels
by: Liu, Xin, et al.
Published: (2024)

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs
by: Gao, Yisen, et al.
Published: (2025)

Transformers for Complex Query Answering over Knowledge Hypergraphs
by: Tsang, Hong Ting, et al.
Published: (2025)

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

From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
by: Zheng, Tianshi, et al.
Published: (2025)

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering
by: Fei, Weizhi, et al.
Published: (2025)

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
by: Bai, Jiaxin, et al.
Published: (2023)

Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
by: Yin, Hang, et al.
Published: (2023)

KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education?
by: Zheng, Tianshi, et al.
Published: (2024)

Understanding Inter-Session Intentions via Complex Logical Reasoning
by: Bai, Jiaxin, et al.
Published: (2023)

The Cognitive Bandwidth Bottleneck: Shifting Long-Horizon Agent from Planning with Actions to Planning with Schemas
by: Xu, Baixuan, et al.
Published: (2025)

Guard-GBDT: Efficient Privacy-Preserving Approximated GBDT Training on Vertical Dataset
by: Song, Anxiao, et al.
Published: (2025)

AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora
by: Bai, Jiaxin, et al.
Published: (2025)

Intention Knowledge Graph Construction for User Intention Relation Modeling
by: Bai, Jiaxin, et al.
Published: (2024)

Meta Operator for Complex Query Answering on Knowledge Graphs
by: Yin, Hang, et al.
Published: (2024)

SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation
by: Liu, Haoyu, et al.
Published: (2023)

Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction
by: Gao, Yisen, et al.
Published: (2025)

Toward Understanding Bugs in Vector Database Management Systems
by: Xie, Yinglin, et al.
Published: (2025)

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
by: Ding, Mucong, et al.
Published: (2024)

Aster: Enhancing LSM-structures for Scalable Graph Database
by: Mo, Dingheng, et al.
Published: (2025)

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
by: Xia, Shuyin, et al.
Published: (2024)

SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
by: Gu, Xizhi, et al.
Published: (2024)

GraphMERT: Efficient and Scalable Distillation of Reliable Knowledge Graphs from Unstructured Data
by: Belova, Margarita, et al.
Published: (2025)

Towards Efficient Training of Graph Neural Networks: A Multiscale Approach
by: Gal, Eshed, et al.
Published: (2025)

Scalable Neural Network Training over Distributed Graphs
by: Kolluri, Aashish, et al.
Published: (2023)

POINT$^{2}$: A Polymer Informatics Training and Testing Database
by: Xu, Jiaxin, et al.
Published: (2025)

Graph Neural Networks on Graph Databases
by: Lopushanskyy, Dmytro, et al.
Published: (2024)

CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge
by: Zheng, Tianshi, et al.
Published: (2024)

EcomEdit: An Automated E-commerce Knowledge Editing Framework for Enhanced Product and Purchase Intention Understanding
by: Lau, Ching Ming Samuel, et al.
Published: (2024)

Towards Reliable Vector Database Management Systems: A Software Testing Roadmap for 2030
by: Wang, Shenao, et al.
Published: (2025)

VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention
by: Zhou, Jingbo, et al.
Published: (2026)