Cover Image

FOCAL-Attention for Heterogeneous Multi-Label Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Chenghao, Long, Qingqing, Wang, Ludi, Cui, Wenjuan, Yu, Jianjun, Du, Yi
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

CITE: A Comprehensive Benchmark for Heterogeneous Text-Attributed Graphs on Catalytic Materials
by: Zhang, Chenghao, et al.
Published: (2025)

CataLM: Empowering Catalyst Design Through Large Language Models
by: Wang, Ludi, et al.
Published: (2024)

FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
by: Huang, Chenghao, et al.
Published: (2024)

Graph Attention Network for Predicting Duration of Large-Scale Power Outages Induced by Natural Disasters
by: Duan, Chenghao, et al.
Published: (2025)

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
by: Xie, HongXin, et al.
Published: (2025)

FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning
by: Kou, Zhiqiang, et al.
Published: (2026)

Gated Graph Attention Networks for Predicting Duration of Large Scale Power Outages Induced by Natural Disasters
by: Duan, Chenghao, et al.
Published: (2026)

HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness
by: Zhao, Zeyuan, et al.
Published: (2023)

Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
by: Chen, Xiaolu, et al.
Published: (2025)

Incremental Label Distribution Learning with Scalable Graph Convolutional Networks
by: Jia, Ziqi, et al.
Published: (2024)

An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise
by: Cui, Jingyi, et al.
Published: (2025)

Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
by: Yu, Jianxiang, et al.
Published: (2022)

Multi-Label Bayesian Active Learning with Inter-Label Relationships
by: Qi, Yuanyuan, et al.
Published: (2024)

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning
by: Zhang, Weiliang, et al.
Published: (2025)

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference
by: Qiu, Quantong, et al.
Published: (2026)

Label Attention Network for Temporal Sets Prediction: You Were Looking at a Wrong Self-Attention
by: Kovtun, Elizaveta, et al.
Published: (2023)

Redundancy-optimized Multi-head Attention Networks for Multi-View Multi-Label Feature Selection
by: Liu, Yuzhou, et al.
Published: (2025)

Multi-Label Phase Diagram Prediction in Complex Alloys via Physics-Informed Graph Attention Networks
by: Park, Eunjeong, et al.
Published: (2026)

Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention Networks
by: Wang, Kun, et al.
Published: (2020)

Multi-Class Traffic Assignment using Multi-View Heterogeneous Graph Attention Networks
by: Liu, Tong, et al.
Published: (2025)

FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
by: Sun, Zhaobin, et al.
Published: (2024)

EMAformer: Enhancing Transformer through Embedding Armor for Time Series Forecasting
by: Zhang, Zhiwei, et al.
Published: (2025)

Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks
by: Zheng, Hongye, et al.
Published: (2025)

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

MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
by: Duan, Wenchang, et al.
Published: (2026)

Inorganic Catalyst Efficiency Prediction Based on EAPCR Model: A Deep Learning Solution for Multi-Source Heterogeneous Data
by: Liu, Zhangdi, et al.
Published: (2025)

Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Prediction
by: Li, Shibo, et al.
Published: (2024)

Federated Learning with Heterogeneous and Private Label Sets
by: Breitholtz, Adam, et al.
Published: (2025)

HGATSolver: A Heterogeneous Graph Attention Solver for Fluid-Structure Interaction
by: Zhang, Qin-Yi, et al.
Published: (2026)

Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
by: Tang, Wei, et al.
Published: (2024)

Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
by: Jin, Hong, et al.
Published: (2025)

Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network
by: Park, Jongmin, et al.
Published: (2024)

Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
by: Zhe, Tao, et al.
Published: (2025)

HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning
by: Zheng, Chuhang, et al.
Published: (2025)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization
by: Huang, Xiaohan, et al.
Published: (2025)

CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification
by: Li, Ludi, et al.
Published: (2025)

Quantifying Heterogeneous Ecosystem Services With Multi-Label Soft Classification
by: Tian, Zhihui, et al.
Published: (2024)

AGNOMIN -- Architecture Agnostic Multi-Label Function Name Prediction
by: Achamyeleh, Yonatan Gizachew, et al.
Published: (2025)

Hyperbolic Heterogeneous Graph Attention Networks
by: Park, Jongmin, et al.
Published: (2024)

Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention
by: Sha, Qiuwu, et al.
Published: (2025)