:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhan, Ling, Huang, Junjie, Yu, Xiaoyao, Chen, Wenyu, Jia, Tao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2510.09175
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accelerating Benchmarking of Functional Connectivity Modeling via Structure-aware Core-set Selection
by: Zhan, Ling, et al.
Published: (2026)

Position: AI for Science Should Treat Measurement-to-Dataset Pipelines as Inference Components
by: Zhan, Ling, et al.
Published: (2026)

Sex Differences in Hierarchical and Modular Organization of Functional Brain Networks: Insights from Hierarchical Entropy and Modularity Analysis
by: Chen, Wenyu, et al.
Published: (2024)

Topological Cycle Graph Attention Network for Brain Functional Connectivity
by: Huang, Jinghan, et al.
Published: (2024)

Beyond Pairwise Correlations: Higher-Order Redundancies in Self-Supervised Representation Learning
by: Zollikofer, David, et al.
Published: (2024)

Robust Graph Structure Learning under Heterophily
by: Xie, Xuanting, et al.
Published: (2024)

BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation
by: Huang, Yiran, et al.
Published: (2025)

Network-Aware Bilinear Tokenization for Brain Functional Connectivity Representation Learning
by: Milecki, Leo, et al.
Published: (2026)

Multimodal LLMs under Pairwise Modalities
by: Li, Yan, et al.
Published: (2026)

A3S: A General Active Clustering Method with Pairwise Constraints
by: Deng, Xun, et al.
Published: (2024)

DAGGER: Gradient-Free Construction of Transiently Amplifying Networks under Hard Connectivity Constraints
by: Ferguson, James C.
Published: (2026)

Beyond Performance Scores: Directed Functional Connectivity as a Brain-Based Biomarker for Motor Skill Learning and Retention
by: Kamat, Anil, et al.
Published: (2025)

Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections
by: Liu, Zhuo, et al.
Published: (2025)

Tree-like Pairwise Interaction Networks
by: Richman, Ronald, et al.
Published: (2025)

Higher-Order Modular Attention: Fusing Pairwise and Triadic Interactions for Protein Sequences
by: Amiraslani, Shirin, et al.
Published: (2026)

Continual Learning for fMRI-Based Brain Disorder Diagnosis via Functional Connectivity Matrices Generative Replay
by: Chen, Qianyu, et al.
Published: (2026)

Learning High-Order Relationships of Brain Regions
by: Qiu, Weikang, et al.
Published: (2023)

Spatial Craving Patterns in Marijuana Users: Insights from fMRI Brain Connectivity Analysis with High-Order Graph Attention Neural Networks
by: Ding, Jun-En, et al.
Published: (2024)

AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation
by: Zhu, Wenyu, et al.
Published: (2025)

Beyond Pairwise: Empowering LLM Alignment With Ranked Choice Modeling
by: Tang, Yuxuan, et al.
Published: (2025)

Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
by: Chai, Qisen, et al.
Published: (2025)

NeuroPathNet: Dynamic Path Trajectory Learning for Brain Functional Connectivity Analysis
by: Guo, Tianqi, et al.
Published: (2025)

HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
by: Chen, Ling, et al.
Published: (2021)

When Brain Networks Travel: Learning Beyond Site
by: Wang, Yingxu, et al.
Published: (2026)

Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia
by: Tewari, Niharika, et al.
Published: (2025)

Generalized Dynamic Brain Functional Connectivity Based on Random Convolutions
by: Duan, Yongjie, et al.
Published: (2024)

Beyond Predictive Uncertainty: Reliable Representation Learning with Structural Constraints
by: Yang, Yiyao
Published: (2026)

Accelerated First-Order Optimization under Nonlinear Constraints
by: Muehlebach, Michael, et al.
Published: (2023)

Beyond the Singular: Revealing the Value of Multiple Generations in Benchmark Evaluation
by: Zhang, Wenbo, et al.
Published: (2025)

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
by: Tang, Haoteng, et al.
Published: (2024)

ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting
by: Wu, Binqing, et al.
Published: (2025)

SCOPE-FE: Structured Control of Operator and Pairwise Exploration for Feature Engineering
by: Park, Minhee, et al.
Published: (2026)

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
by: Nguyen, Dang, et al.
Published: (2025)

Highly Fast Text Segmentation With Pairwise Markov Chains
by: Azeraf, Elie, et al.
Published: (2021)

Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach
by: Zhan, Ruohan, et al.
Published: (2024)

SCAWaveNet: A Spatial-Channel Attention-Based Network for Global Significant Wave Height Retrieval
by: Zhang, Chong, et al.
Published: (2025)

Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models
by: Wang, Austin, et al.
Published: (2026)

DCHO: A Decomposition-Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications
by: Li, Weibin, et al.
Published: (2025)

Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data
by: Hong, Wanli, et al.
Published: (2024)

Fine-grained Analysis of Non-parametric Estimation for Pairwise Learning
by: Zhou, Junyu, et al.
Published: (2023)