:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	An, Xin, Li, Ruijie, Ning, Qiao, Guo, Shikai, Li, Hui, Ma, Qian
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2506.18797
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SOC-DGL: Social Interaction Behavior Inspired Dual Graph Learning Framework for Drug-Target Interaction Identification
by: Zhao, Xiang, et al.
Published: (2025)

A HyperGraphMamba-Based Multichannel Adaptive Model for ncRNA Classification
by: An, Xin, et al.
Published: (2025)

HydraNet: Momentum-Driven State Space Duality for Multi-Granularity Tennis Tournaments Analysis
by: Li, Ruijie, et al.
Published: (2025)

Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses
by: Liu, Hui, et al.
Published: (2024)

FAAGC: Feature Augmentation on Adaptive Geodesic Curve Based on the shape space theory
by: Han, Yuexing, et al.
Published: (2025)

Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework
by: Lin, Jiaqi, et al.
Published: (2024)

Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction
by: Zheng, Liangwei Nathan, et al.
Published: (2024)

Cross-view Joint Learning for Mixed-Missing Multi-view Unsupervised Feature Selection
by: Shen, Zongxin, et al.
Published: (2025)

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets
by: Qiao, Lianpeng, et al.
Published: (2025)

Joint Learning of Unsupervised Multi-view Feature and Instance Co-selection with Cross-view Imputation
by: Cai, Yuxin, et al.
Published: (2025)

Divergence-Augmented Policy Optimization
by: Wang, Qing, et al.
Published: (2025)

Structure-aware Hybrid-order Similarity Learning for Multi-view Unsupervised Feature Selection
by: Xu, Lin, et al.
Published: (2025)

Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data
by: Huang, Yanyong, et al.
Published: (2024)

HiF-DTA: Hierarchical Feature Learning Network for Drug-Target Affinity Prediction
by: Li, Minghui, et al.
Published: (2025)

DNMDR: Dynamic Networks and Multi-view Drug Representations for Safe Medication Recommendation
by: Liu, Guanlin, et al.
Published: (2025)

Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices
by: Han, Qingyu, et al.
Published: (2025)

Multi-objective Genetic Programming with Multi-view Multi-level Feature for Enhanced Protein Secondary Structure Prediction
by: Qian, Yining, et al.
Published: (2026)

Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion
by: Du, Liang, et al.
Published: (2024)

APEX: Amplitude Anchors and Phase Priors for Target-Scarce Higher-Frequency Wave Prediction
by: Sun, Yifan, et al.
Published: (2026)

Enhancing Industrial Transfer Learning with Style Filter: Cost Reduction and Defect-Focus
by: Li, Chen, et al.
Published: (2024)

Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence
by: Zhang, Shiyuan, et al.
Published: (2026)

Convergent World Representations and Divergent Tasks
by: Park, Core Francisco
Published: (2026)

A Multi-Scale Graph Neural Process with Cross-Drug Co-Attention for Drug-Drug Interactions Prediction
by: Yan, Zimo, et al.
Published: (2025)

Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction
by: Li, Xiaodi, et al.
Published: (2024)

Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA
by: Huang, Mingyu, et al.
Published: (2025)

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
by: Fang, Shikai, et al.
Published: (2023)

ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion
by: Li, Minghui, et al.
Published: (2024)

CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence
by: Zhang, Zao, et al.
Published: (2024)

Kernel Alignment-based Multi-view Unsupervised Feature Selection with Sample-level Adaptive Graph Learning
by: Tan, Yalan, et al.
Published: (2026)

Geometric Convergence Analysis of Variational Inference via Bregman Divergences
by: Bohara, Sushil, et al.
Published: (2025)

LaPro-DTA: Latent Dual-View Drug Representations and Salient Protein Feature Extraction for Generalizable Drug--Target Affinity Prediction
by: Dun, Zihan, et al.
Published: (2026)

Network Anomaly Traffic Detection via Multi-view Feature Fusion
by: Hao, Song, et al.
Published: (2024)

Scalable Multi-view Clustering via Explicit Kernel Features Maps
by: Fettal, Chakib, et al.
Published: (2024)

Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
by: Zhang, Kexin, et al.
Published: (2024)

A Novel Hybrid Feature Importance and Feature Interaction Detection Framework for Predictive Optimization in Industry 4.0 Applications
by: Ma, Zhipeng, et al.
Published: (2024)

Discovering Common Information in Multi-view Data
by: Zhang, Qi, et al.
Published: (2024)

When Forgetting Builds Reliability: LLM Unlearning for Reliable Hardware Code Generation
by: Liang, Yiwen, et al.
Published: (2025)

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

Multi-view Granular-ball Contrastive Clustering
by: Su, Peng, et al.
Published: (2024)

Contrastive Multi-Task Learning with Solvent-Aware Augmentation for Drug Discovery
by: Lan, Jing, et al.
Published: (2025)