:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Yunqing, Zhou, Yi, Fan, Wenqi
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2603.00568
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition
par: Liu, Yunqing, et autres
Publié: (2026)

GLProtein: Global-and-Local Structure Aware Protein Representation Learning
par: Liu, Yunqing, et autres
Publié: (2025)

MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction
par: Liu, Yuyan, et autres
Publié: (2024)

Local-Global Multimodal Contrastive Learning for Molecular Property Prediction
par: Liu, Xiayu, et autres
Publié: (2026)

Reasoning-Enhanced Large Language Models for Molecular Property Prediction
par: Zhuang, Jiaxi, et autres
Publié: (2025)

Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation
par: Dey, Vishal, et autres
Publié: (2024)

Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction
par: Zhao, Zexing, et autres
Publié: (2024)

Scalable Multi-Task Transfer Learning for Molecular Property Prediction
par: Lee, Chanhui, et autres
Publié: (2024)

Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
par: Ma, Tengfei, et autres
Publié: (2023)

Towards General Computer Control with Hierarchical Agents and Multi-Level Action Spaces
par: Dong, Zihan, et autres
Publié: (2025)

Pre-training with Fractional Denoising to Enhance Molecular Property Prediction
par: Ni, Yuyan, et autres
Publié: (2024)

Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models
par: Wang, Zhenzhong, et autres
Publié: (2024)

Sub-graph Based Diffusion Model for Link Prediction
par: Li, Hang, et autres
Publié: (2024)

Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework
par: Tian, Yuan, et autres
Publié: (2024)

GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models
par: Rivera, Oscar, et autres
Publié: (2026)

Adapting Differential Molecular Representation with Hierarchical Prompts for Multi-label Property Prediction
par: Kang, Linjia, et autres
Publié: (2024)

BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
par: Antoniuk, Evan R., et autres
Publié: (2025)

CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
par: Zhou, Gen, et autres
Publié: (2025)

Multi-level Self-supervised Pretraining on Compositional Hierarchical Graph for Molecular Property Prediction
par: Liu, Xiayu, et autres
Publié: (2026)

Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints
par: Gil-Sorribes, Manel, et autres
Publié: (2025)

CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models
par: Liu, Zongkai, et autres
Publié: (2025)

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era
par: Li, Zongru, et autres
Publié: (2026)

Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework
par: Tian, Yuan, et autres
Publié: (2025)

Cardinality-Preserving Attention Channels for Graph Transformers in Molecular Property Prediction
par: Gupta, Abhijit
Publié: (2026)

Multi-RF Fusion with Multi-GNN Blending for Molecular Property Prediction
par: Bugaud, Zacharie
Publié: (2026)

Robust Molecular Property Prediction via Densifying Scarce Labeled Data
par: Kim, Jina, et autres
Publié: (2025)

Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification
par: Teufel, Jonas, et autres
Publié: (2025)

PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
par: Wu, Shiguang, et autres
Publié: (2023)

Case-Based Reasoning Enhances the Predictive Power of LLMs in Drug-Drug Interaction
par: Liu, Guangyi, et autres
Publié: (2025)

MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules
par: Nogueira, Idelfonso B. R., et autres
Publié: (2026)

AttriLens-Mol: Attribute Guided Reinforcement Learning for Molecular Property Prediction with Large Language Models
par: Lin, Xuan, et autres
Publié: (2025)

Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction
par: An, Rui, et autres
Publié: (2025)

Context-aware Graph Causality Inference for Few-Shot Molecular Property Prediction
par: Hoang, Van Thuy, et autres
Publié: (2026)

Tensor-DTI: Enhancing Biomolecular Interaction Prediction with Contrastive Embedding Learning
par: Gil-Sorribes, Manel, et autres
Publié: (2026)

TwinBooster: Synergising Large Language Models with Barlow Twins and Gradient Boosting for Enhanced Molecular Property Prediction
par: Schuh, Maximilian G., et autres
Publié: (2024)

From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling
par: Luo, Xiaotong, et autres
Publié: (2025)

Cognitive Chunking for Soft Prompts: Accelerating Compressor Learning via Block-wise Causal Masking
par: Liu, Guojie, et autres
Publié: (2026)

Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing
par: Fan, Ziyu, et autres
Publié: (2025)

Instructor-inspired Machine Learning for Robust Molecular Property Prediction
par: Wu, Fang, et autres
Publié: (2023)

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
par: Chen, Zhikai, et autres
Publié: (2023)