Cover Image

Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Zhiyuan, Qi, Jianpeng, Li, Jiantao, Chao, Guoqing, Dong, Junyu, Yu, Yanwei
Format:	Preprint
Published:	2025
Subjects:	Databases Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
by: Li, Xiang, et al.
Published: (2025)

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
by: Yang, Xinyu, et al.
Published: (2024)

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

UMGAD: Unsupervised Multiplex Graph Anomaly Detection
by: Li, Xiang, et al.
Published: (2024)

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

Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching
by: Gao, Anjun, et al.
Published: (2026)

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

Efficient Discovery of Significant Patterns with Few-Shot Resampling
by: Pellegrina, Leonardo, et al.
Published: (2024)

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)

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

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
by: Fu, Xingcheng, et al.
Published: (2024)

Fair Data Pre-Processing with Imperfect Attribute Space
by: Zheng, Ying, et al.
Published: (2026)

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

CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness
by: Zheng, Ying, et al.
Published: (2025)

Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability
by: Zhang, Jiasheng, et al.
Published: (2024)

FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables
by: Qi, Danrui, et al.
Published: (2024)

Poodle: Seamlessly Scaling Down Large Language Models with Just-in-Time Model Replacement
by: Strassenburg, Nils, et al.
Published: (2025)

An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs
by: Afandi, Waleed, et al.
Published: (2026)

CogScale: Scalable Benchmark for Sequence Processing
by: Bendi-Ouis, Yannis, et al.
Published: (2026)

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
by: Miao, Hao, et al.
Published: (2024)

MICRO: A Lightweight Middleware for Optimizing Cross-store Cross-model Graph-Relation Joins [Technical Report]
by: Zheng, Xiuwen, et al.
Published: (2026)

CHORUS: Foundation Models for Unified Data Discovery and Exploration
by: Kayali, Moe, et al.
Published: (2023)

Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion
by: Zhang, Jiasheng, et al.
Published: (2024)

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

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

MaskSearch: Querying Image Masks at Scale
by: He, Dong, et al.
Published: (2023)

QJoin: Transformation-aware Joinable Data Discovery Using Reinforcement Learning
by: Wang, Ning, et al.
Published: (2025)

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

Compass: SLO-aware Query Planner for Compound AI Serving at Scale
by: Liu, Banruo, et al.
Published: (2025)

ScaleDoc: Scaling LLM-based Predicates over Large Document Collections
by: Zhang, Hengrui, et al.
Published: (2025)

RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning
by: Chen, Minxiao, et al.
Published: (2025)

Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows
by: Wei, Lindsey Linxi, et al.
Published: (2024)

Temporal Motif Signatures for Temporal Graph Neural Networks
by: Sandfelder, Dylan, et al.
Published: (2026)

Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion
by: Zhang, Zizhao, et al.
Published: (2025)

Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era
by: Chen, Wei, et al.
Published: (2024)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
by: Wang, Minjie, et al.
Published: (2024)

Motiflets -- Simple and Accurate Detection of Motifs in Time Series
by: Schäfer, Patrick, et al.
Published: (2022)

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

Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
by: Liang, Yuxuan, et al.
Published: (2025)

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