Cover Image

HMVI: Unifying Heterogeneous Attributes with Natural Neighbors for Missing Value Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Xiaopeng, Tan, Zexi, Wang, Zhuowei
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers
by: Zhang, Yiqun, et al.
Published: (2026)

Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
by: Zhang, Yiqun, et al.
Published: (2026)

Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs
by: Hu, Yaowen, et al.
Published: (2025)

FedRecon: Missing Modality Reconstruction in Heterogeneous Distributed Environments
by: Liu, Junming, et al.
Published: (2025)

On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets
by: Joel, Luke Oluwaseye, et al.
Published: (2024)

Revisiting Multivariate Time Series Forecasting with Missing Values
by: Yang, Jie, et al.
Published: (2025)

Attribute-Enhanced Similarity Ranking for Sparse Link Prediction
by: Mattos, João, et al.
Published: (2024)

Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values
by: Zheng, Yu, et al.
Published: (2024)

Feature Inference Attack on Shapley Values
by: Luo, Xinjian, et al.
Published: (2024)

M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Values
by: Catto, Adam, et al.
Published: (2024)

Unifying Attribution-Based Explanations Using Functional Decomposition
by: Gevaert, Arne, et al.
Published: (2024)

Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Value
by: Fan, Wangxuan, et al.
Published: (2025)

DE3S: Dual-Enhanced Soft-Sparse-Shape Learning for Medical Early Time-Series Classification
by: Xie, Tao, et al.
Published: (2025)

M$^3$-Impute: Mask-guided Representation Learning for Missing Value Imputation
by: Yu, Zhongyi, et al.
Published: (2024)

AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer
by: Yuan, Jinhui, et al.
Published: (2024)

Robust Simulation-Based Inference under Missing Data via Neural Processes
by: Verma, Yogesh, et al.
Published: (2025)

GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
by: Ke, Songyu, et al.
Published: (2025)

CORM: Cache Optimization with Recent Message for Large Language Model Inference
by: Dai, Jincheng, et al.
Published: (2024)

Unifying Perplexing Behaviors in Modified BP Attributions through Alignment Perspective
by: Zheng, Guanhua, et al.
Published: (2025)

ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
by: Zhu, Zhiyu, et al.
Published: (2025)

Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
by: Kulynych, Bogdan, et al.
Published: (2025)

Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls
by: Liu, Sicong, et al.
Published: (2024)

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs
by: Li, Mengran, et al.
Published: (2025)

TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks
by: Wang, Ta-Yang, et al.
Published: (2026)

NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information
by: Qing, Qing, et al.
Published: (2026)

Physics-Informed Inference Time Scaling for Solving High-Dimensional PDE via Defect Correction
by: Fan, Zexi, et al.
Published: (2025)

A Unified Framework for Heterogeneous Semi-supervised Learning
by: Heidari, Marzi, et al.
Published: (2025)

Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness
by: Zhao, Chuang, et al.
Published: (2025)

Injecting Universal Jailbreak Backdoors into LLMs in Minutes
by: Chen, Zhuowei, et al.
Published: (2025)

Towards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic Interpretability
by: Zhang, Shichang, et al.
Published: (2025)

One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
by: Kasmi, Gabriel, et al.
Published: (2024)

Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs
by: Zou, Xingchen, et al.
Published: (2024)

IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning
by: Luo, Haohao, et al.
Published: (2026)

MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
by: Tan, Zexi, et al.
Published: (2025)

Value of Information and Reward Specification in Active Inference and POMDPs
by: Wei, Ran
Published: (2024)

Shapley-Value-Based Graph Sparsification for GNN Inference
by: Akkas, Selahattin, et al.
Published: (2025)

Active Inference with Reusable State-Dependent Value Profiles
by: Poschl, Jacob
Published: (2025)

Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
by: Hashimoto, Wataru, et al.
Published: (2024)

Customizing Open Source LLMs for Quantitative Medication Attribute Extraction across Heterogeneous EHR Systems
by: Fei, Zhe, et al.
Published: (2025)

Towards Adversarially Robust Deep Metric Learning
by: Ke, Xiaopeng
Published: (2025)