Cover Image

AnchorGK: Anchor-based Incremental and Stratified Graph Learning Framework for Inductive Spatio-Temporal Kriging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Xiaobin, Zhao, Kaiqi, Taškova, Katerina, Riddle, Patricia
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
by: Xu, Qianxiong, et al.
Published: (2023)

Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference
by: Yang, Songlin, et al.
Published: (2025)

Anchor-free Clustering based on Anchor Graph Factorization
by: Mei, Shikun, et al.
Published: (2024)

Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
by: Zhou, Wang-Tao, et al.
Published: (2025)

STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach
by: Li, Yujie, et al.
Published: (2025)

DRIK: Distribution-Robust Inductive Kriging without Information Leakage
by: Yang, Chen, et al.
Published: (2025)

EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks
by: Hua, Yan Cathy, et al.
Published: (2025)

A Systematic Review of Aspect-based Sentiment Analysis: Domains, Methods, and Trends
by: Hua, Yan Cathy, et al.
Published: (2023)

Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis
by: Hua, Yan Cathy, et al.
Published: (2025)

Inductive Graph Few-shot Class Incremental Learning
by: Li, Yayong, et al.
Published: (2024)

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors
by: Zhao, Mengnan, et al.
Published: (2024)

AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer
by: Shan, Jiquan, et al.
Published: (2025)

Reinforcement Learning with Rubric Anchors
by: Huang, Zenan, et al.
Published: (2025)

Uniform Inductive Spatio-Temporal Kriging
by: Xie, Lewei, et al.
Published: (2026)

Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting
by: Hong, Xiaobin, et al.
Published: (2025)

DarkFarseer: Robust Spatio-temporal Kriging under Graph Sparsity and Noise
by: Liang, Zhuoxuan, et al.
Published: (2025)

AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion
by: Li, Chenqi, et al.
Published: (2024)

Anchor-based Maximum Discrepancy for Relative Similarity Testing
by: Zhou, Zhijian, et al.
Published: (2025)

TAAM:Inductive Graph-Class Incremental Learning with Task-Aware Adaptive Modulation
by: Liu, Jingtao, et al.
Published: (2026)

AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers
by: Zhu, Wenhao, et al.
Published: (2024)

Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization
by: Wang, Rui, et al.
Published: (2024)

Model Merging with Functional Dual Anchors
by: Shi, Kexuan, et al.
Published: (2025)

Improving Relative Representations with Learned Anchors and Whitened Inner Products
by: Svendsen, Oscar Thorsted, et al.
Published: (2026)

A General Anchor-Based Framework for Scalable Fair Clustering
by: Wei, Shengfei, et al.
Published: (2025)

Discriminative Anchor Learning for Efficient Multi-view Clustering
by: Qin, Yalan, et al.
Published: (2024)

Variance-aware Reward Modeling with Anchor Guidance
by: Fang, Shuxing, et al.
Published: (2026)

Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning
by: Ji, Jiahao, et al.
Published: (2023)

Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
by: Yu, Hao, et al.
Published: (2024)

Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
by: Xiong, Jiafeng, et al.
Published: (2025)

Anchor-guided Hypergraph Condensation with Dual-level Discrimination
by: Li, Fan, et al.
Published: (2026)

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization
by: Sinaga, Marshal Arijona, et al.
Published: (2024)

Physics-Guided Inductive Spatiotemporal Kriging for PM2.5 with Satellite Gradient Constraints
by: Wang, Shuo, et al.
Published: (2025)

Archetypal Graph Generative Models: Explainable and Identifiable Communities via Anchor-Dominant Convex Hulls
by: Nakis, Nikolaos, et al.
Published: (2026)

Spatio-Temporal Graph Structure Learning for Earthquake Detection
by: Piriyasatit, Suchanun, et al.
Published: (2025)

FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients
by: Qiu, Xinchi, et al.
Published: (2024)

Norm Anchors Make Model Edits Last
by: Liu, Mingda, et al.
Published: (2026)

Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown
by: Gómez-Gálvez, Sandra, et al.
Published: (2026)

FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
by: Zhou, Yanbing, et al.
Published: (2025)

Floating Anchor Diffusion Model for Multi-motif Scaffolding
by: Liu, Ke, et al.
Published: (2024)

AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
by: Lesci, Pietro, et al.
Published: (2024)