Predictive Query-based Pipeline for Graph Data
Fuente:
arXiv
Saved in:
| Main Author: | Neto, Plácido A Souza |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2026)
by: Hofer, Marvin, et al.
Published: (2026)
KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2025)
by: Hofer, Marvin, et al.
Published: (2025)
Not All Neighbors Matter: Understanding the Impact of Graph Sparsification on GNN Pipelines
by: Song, Yuhang, et al.
Published: (2026)
by: Song, Yuhang, et al.
Published: (2026)
GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
by: Fallahian, Mohammadali, et al.
Published: (2022)
by: Fallahian, Mohammadali, et al.
Published: (2022)
Pre-Execution Query Slot-Time Prediction in Cloud Data Warehouses: A Feature-Scoped Machine Learning Approach
by: Pathak, Prashant Kumar
Published: (2026)
by: Pathak, Prashant Kumar
Published: (2026)
Optimizing LLM Queries in Relational Data Analytics Workloads
by: Liu, Shu, et al.
Published: (2024)
by: Liu, Shu, et al.
Published: (2024)
LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates
by: Quader, Shaikh, et al.
Published: (2024)
by: Quader, Shaikh, et al.
Published: (2024)
SemPipes -- Optimizable Semantic Data Operators for Tabular Machine Learning Pipelines
by: Ovcharenko, Olga, et al.
Published: (2026)
by: Ovcharenko, Olga, et al.
Published: (2026)
An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs
by: Afandi, Waleed, et al.
Published: (2026)
by: Afandi, Waleed, et al.
Published: (2026)
Hydro: Adaptive Query Processing of ML Queries
by: Kakkar, Gaurav Tarlok, et al.
Published: (2024)
by: Kakkar, Gaurav Tarlok, et al.
Published: (2024)
From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying
by: Wu, Biao, et al.
Published: (2023)
by: Wu, Biao, et al.
Published: (2023)
Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries -- Extended
by: Wu, Ziniu, et al.
Published: (2025)
by: Wu, Ziniu, et al.
Published: (2025)
Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond
by: Bărbulescu, George-Octavian, et al.
Published: (2024)
by: Bărbulescu, George-Octavian, et al.
Published: (2024)
LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction
by: Chang, Jing, et al.
Published: (2025)
by: Chang, Jing, et al.
Published: (2025)
Morphing-based Compression for Data-centric ML Pipelines
by: Baunsgaard, Sebastian, et al.
Published: (2025)
by: Baunsgaard, Sebastian, et al.
Published: (2025)
A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
by: Cucumides, Tamara, et al.
Published: (2023)
by: Cucumides, Tamara, et al.
Published: (2023)
Private Queries with Sigma-Counting
by: Gao, Jun, et al.
Published: (2025)
by: Gao, Jun, et al.
Published: (2025)
SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses
by: Wu, Yifan, et al.
Published: (2026)
by: Wu, Yifan, et al.
Published: (2026)
MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version)
by: Liu, Hengyu, et al.
Published: (2025)
by: Liu, Hengyu, et al.
Published: (2025)
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
by: Miao, Hao, et al.
Published: (2024)
by: Miao, Hao, et al.
Published: (2024)
Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases
by: Kocijan, Vid, et al.
Published: (2026)
by: Kocijan, Vid, et al.
Published: (2026)
The Unreasonable Effectiveness of LLMs for Query Optimization
by: Akioyamen, Peter, et al.
Published: (2024)
by: Akioyamen, Peter, et al.
Published: (2024)
Personalized Top-k Set Queries Over Predicted Scores
by: Nia, Sohrab Namazi, et al.
Published: (2025)
by: Nia, Sohrab Namazi, et al.
Published: (2025)
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
by: He, Yunjie, et al.
Published: (2023)
by: He, Yunjie, et al.
Published: (2023)
A Survey of Pipeline Tools for Data Engineering
by: Mbata, Anthony, et al.
Published: (2024)
by: Mbata, Anthony, et al.
Published: (2024)
Sibyl: Forecasting Time-Evolving Query Workloads
by: Huang, Hanxian, et al.
Published: (2024)
by: Huang, Hanxian, et al.
Published: (2024)
Low Rank Learning for Offline Query Optimization
by: Yi, Zixuan, et al.
Published: (2025)
by: Yi, Zixuan, et al.
Published: (2025)
Incorporating Deep Learning Design in Database Queries
by: Lubarsky, Yuval Lev, et al.
Published: (2026)
by: Lubarsky, Yuval Lev, et al.
Published: (2026)
Adversarial Query Synthesis via Bayesian Optimization
by: Tao, Jeffrey, et al.
Published: (2026)
by: Tao, Jeffrey, et al.
Published: (2026)
Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets
by: Qiao, Lianpeng, et al.
Published: (2025)
by: Qiao, Lianpeng, et al.
Published: (2025)
Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines
by: Chang, Chaokun, et al.
Published: (2024)
by: Chang, Chaokun, et al.
Published: (2024)
A Declarative Query Language for Scientific Machine Learning
by: Jamil, Hasan M
Published: (2024)
by: Jamil, Hasan M
Published: (2024)
ACE: A Cardinality Estimator for Set-Valued Queries
by: Sheng, Yufan, et al.
Published: (2025)
by: Sheng, Yufan, et al.
Published: (2025)
View-based Explanations for Graph Neural Networks
by: Chen, Tingyang, et al.
Published: (2024)
by: Chen, Tingyang, et al.
Published: (2024)
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
by: Kim, Jang-Hyun, et al.
Published: (2025)
by: Kim, Jang-Hyun, et al.
Published: (2025)
SemBench: A Benchmark for Semantic Query Processing Engines
by: Lao, Jiale, et al.
Published: (2025)
by: Lao, Jiale, et al.
Published: (2025)
Retrieve, Merge, Predict: Augmenting Tables with Data Lakes
by: Cappuzzo, Riccardo, et al.
Published: (2024)
by: Cappuzzo, Riccardo, et al.
Published: (2024)
Graph-based Active Learning for Entity Cluster Repair
by: Christen, Victor, et al.
Published: (2024)
by: Christen, Victor, et al.
Published: (2024)
Relational Database Distillation: From Structured Tables to Condensed Graph Data
by: Gao, Xinyi, et al.
Published: (2025)
by: Gao, Xinyi, et al.
Published: (2025)
Training-Free Query Optimization via LLM-Based Plan Similarity
by: Vasilenko, Nikita, et al.
Published: (2025)
by: Vasilenko, Nikita, et al.
Published: (2025)
Similar Items
-
Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2026) -
KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2025) -
Not All Neighbors Matter: Understanding the Impact of Graph Sparsification on GNN Pipelines
by: Song, Yuhang, et al.
Published: (2026) -
GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
by: Fallahian, Mohammadali, et al.
Published: (2022) -
Pre-Execution Query Slot-Time Prediction in Cloud Data Warehouses: A Feature-Scoped Machine Learning Approach
by: Pathak, Prashant Kumar
Published: (2026)