:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Pengfei, Tao, Jun, Ren, Zhixiang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.12885
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions
by: Liu, Pengfei, et al.
Published: (2024)

A quantitative analysis of knowledge-learning preferences in large language models in molecular science
by: Liu, Pengfei, et al.
Published: (2024)

Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey
by: Kuang, Taojie, et al.
Published: (2024)

A Multi-task Large Reasoning Model for Molecular Science
by: Liu, Pengfei, et al.
Published: (2026)

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
by: Liu, Pengfei, et al.
Published: (2023)

Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
by: Du, Haotong, et al.
Published: (2024)

Case-Based Reasoning Enhances the Predictive Power of LLMs in Drug-Drug Interaction
by: Liu, Guangyi, et al.
Published: (2025)

3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information
by: Kuang, Taojie, et al.
Published: (2023)

Dual-Pathway Fusion of EHRs and Knowledge Graphs for Predicting Unseen Drug-Drug Interactions
by: Lee, Franklin, et al.
Published: (2025)

KITE-DDI: A Knowledge graph Integrated Transformer Model for accurately predicting Drug-Drug Interaction Events from Drug SMILES and Biomedical Knowledge Graph
by: Tamir, Azwad, et al.
Published: (2024)

HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance
by: Wang, Zhaoying, et al.
Published: (2025)

AIM-DDI: A Model-Agnostic Multimodal Integration Module for Drug-Drug Interaction Prediction
by: Park, Yerin, et al.
Published: (2026)

Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs
by: Su, Zhixiang, et al.
Published: (2025)

Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction
by: Zhong, Yi, et al.
Published: (2019)

Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions
by: Jiang, Mengying, et al.
Published: (2024)

ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment
by: Wang, Ziyan, et al.
Published: (2024)

Learning Protein Structure-Function Relationships through Knowledge-guided Representation Decomposition
by: Wang, Mingqing, et al.
Published: (2026)

Conformal Prediction for Uncertainty Estimation in Drug-Target Interaction Prediction
by: Rakhshaninejad, Morteza, et al.
Published: (2025)

Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction Tasks
by: Ibragimova, Regina, et al.
Published: (2024)

Enhancing Acute Kidney Injury Prediction through Integration of Drug Features in Intensive Care Units
by: Manalu, Gabriel D. M., et al.
Published: (2024)

Predicting Public Health Impacts of Electricity Usage
by: Liu, Yejia, et al.
Published: (2025)

Pseudodata-guided Invariant Representation Learning Boosts the Out-of-Distribution Generalization in Enzymatic Kinetic Parameter Prediction
by: Wu, Haomin, et al.
Published: (2026)

LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
by: De Vito, Gabriele, et al.
Published: (2025)

Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints
by: Gil-Sorribes, Manel, et al.
Published: (2025)

Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation
by: Kuang, Taojie, et al.
Published: (2025)

Large-Scale Knowledge Integration for Enhanced Molecular Property Prediction
by: Ghunaim, Yasir, 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)

Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
by: Ma, Tengfei, et al.
Published: (2023)

Probing the Knowledge Boundary: An Interactive Agentic Framework for Deep Knowledge Extraction
by: Yang, Yuheng, et al.
Published: (2026)

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning
by: Wang, Yingying, et al.
Published: (2024)

MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction
by: Arevalo, John, et al.
Published: (2024)

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

Preventing Data Leakage in EEG-Based Survival Prediction: A Two-Stage Embedding and Transformer Framework
by: Zhou, Yixin, et al.
Published: (2026)

FlavorDiffusion: Predicting Food Pairings and Chemical Interactions Using Diffusion Models
by: Pyo, Seo Jun
Published: (2025)

Adaptive Graph Unlearning
by: Ding, Pengfei, et al.
Published: (2025)

K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
by: Abdullahi, Tassallah, et al.
Published: (2025)

A Hybrid Computational Intelligence Framework with Metaheuristic Optimization for Drug-Drug Interaction Prediction
by: Shamami, Maryam Abdollahi, et al.
Published: (2025)

Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive Analysis of Multitarget Drug Effect Prediction
by: Bose, Avishek, et al.
Published: (2024)

A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction
by: Zhang, Hongzhi, et al.
Published: (2024)

DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing
by: Lu, Yingzhou, et al.
Published: (2024)