Cover Image

Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Zexing, Shi, Guangsi, Wu, Xiaopeng, Ren, Ruohua, Gao, Xiaojun, Li, Fuyi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
by: Jin, Ming, et al.
Published: (2023)

FragNet: A Graph Neural Network for Molecular Property Prediction with Four Levels of Interpretability
by: Panapitiya, Gihan, et al.
Published: (2024)

Local-Global Multimodal Contrastive Learning for Molecular Property Prediction
by: Liu, Xiayu, et al.
Published: (2026)

Graph Navier Stokes Networks
by: Zhao, Zexing, et al.
Published: (2026)

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

Conformalized Link Prediction on Graph Neural Networks
by: Zhao, Tianyi, et al.
Published: (2024)

A Diffusion-Contrastive Graph Neural Network with Virtual Nodes for Wind Nowcasting in Unobserved Regions
by: Shi, Jie, et al.
Published: (2026)

M-GLC: Motif-Driven Global-Local Context Graphs for Few-shot Molecular Property Prediction
by: Xu, Xiangyang, et al.
Published: (2025)

Fair Graph Neural Network with Supervised Contrastive Regularization
by: Kejani, Mahdi Tavassoli, et al.
Published: (2024)

Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning
by: Gao, Haozhi, et al.
Published: (2024)

Combinatorial Optimization with Automated Graph Neural Networks
by: Liu, Yang, et al.
Published: (2024)

Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
by: Dai, Yanjun, et al.
Published: (2025)

Dual-perspective Cross Contrastive Learning in Graph Transformers
by: Yao, Zelin, et al.
Published: (2024)

Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services
by: Li, Zhao, et al.
Published: (2024)

Enhancing Molecular Property Predictions by Learning from Bond Modelling and Interactions
by: Liu, Yunqing, et al.
Published: (2026)

Causal Graph Neural Networks for Wildfire Danger Prediction
by: Zhao, Shan, et al.
Published: (2024)

Multi-level Self-supervised Pretraining on Compositional Hierarchical Graph for Molecular Property Prediction
by: Liu, Xiayu, et al.
Published: (2026)

MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
by: Wu, Mei, et al.
Published: (2025)

HT-GNN: Hyper-Temporal Graph Neural Network for Customer Lifetime Value Prediction in Baidu Ads
by: Zhao, Xiaohui, et al.
Published: (2026)

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

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

Dual-Kernel Graph Community Contrastive Learning
by: Chen, Xiang, et al.
Published: (2025)

Accurate and Scalable Graph Neural Networks via Message Invariance
by: Shi, Zhihao, et al.
Published: (2025)

Discovering the Representation Bottleneck of Graph Neural Networks
by: Wu, Fang, et al.
Published: (2022)

Context-aware Graph Causality Inference for Few-Shot Molecular Property Prediction
by: Hoang, Van Thuy, et al.
Published: (2026)

Explicit Feature Interaction-aware Graph Neural Networks
by: Kim, Minkyu, et al.
Published: (2022)

On Measuring Long-Range Interactions in Graph Neural Networks
by: Bamberger, Jacob, et al.
Published: (2025)

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
by: Wu, Yiqing, et al.
Published: (2024)

Deep Graph Neural Point Process For Learning Temporal Interactive Networks
by: Chen, Su, et al.
Published: (2025)

Graph Unlearning: Efficient Node Removal in Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2025)

Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
by: Davila, Randy, et al.
Published: (2025)

Topological Neural Networks: Mitigating the Bottlenecks of Graph Neural Networks via Higher-Order Interactions
by: Giusti, Lorenzo
Published: (2024)

DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network
by: Shi, Haoyuan, et al.
Published: (2024)

Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
by: Fan, Shaohua, et al.
Published: (2021)

A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
by: Wang, Yucheng, et al.
Published: (2024)

Residual Reweighted Conformal Prediction for Graph Neural Networks
by: Zhang, Zheng, et al.
Published: (2025)

InteractiveGNNExplainer: A Visual Analytics Framework for Multi-Faceted Understanding and Probing of Graph Neural Network Predictions
by: Singh, TC, et al.
Published: (2025)

Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
by: Wu, Lirong, et al.
Published: (2024)

Simple and Efficient Heterogeneous Temporal Graph Neural Network
by: Wang, Yili, et al.
Published: (2025)

SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)