RMD-Graph: Adversarial Attacks Resisting Malicious Domain Detection Based on Dual Denoising

Authors: Zhang, S., Huang, L., Zhen, Z., Xu, W., Yang, W., Liu, L.

Source: IEEE Transactions on Knowledge and Data Engineering IEEE Trans. Knowl. Data Eng. Knowledge and Data Engineering, IEEE Transactions on. 37(3):1394-1410 Mar, 2025

DIG-Mol: A Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction

Authors: Zhao, Z., Shi, G., Wu, X., Ren, R., Gao, X., Li, F.

Source: IEEE Journal of Biomedical and Health Informatics IEEE J. Biomed. Health Inform. Biomedical and Health Informatics, IEEE Journal of. 29(3):1735-1746 Mar, 2025

Semantic-Enhanced Graph Contrastive Learning With Adaptive Denoising for Drug Repositioning

Authors: Yu, H., Lu, M., Li, Z., Zhang, Y.

Source: IEEE Journal of Biomedical and Health Informatics IEEE J. Biomed. Health Inform. Biomedical and Health Informatics, IEEE Journal of. 29(3):1635-1643 Mar, 2025

KEMB-Rec: Knowledge-Enhanced Explainable Multibehavior Recommendation With Graph Contrastive Learning

Authors: Guo, F., Wang, Z.

Source: IEEE Internet of Things Journal IEEE Internet Things J. Internet of Things Journal, IEEE. 12(4):3563-3576 Feb, 2025

FeCoGraph: Label-Aware Federated Graph Contrastive Learning for Few-Shot Network Intrusion Detection

Authors: Mao, Q., Lin, X., Xu, W., Qi, Y., Su, X., Li, G., Li, J.

Source: IEEE Transactions on Information Forensics and Security IEEE Trans.Inform.Forensic Secur. Information Forensics and Security, IEEE Transactions on. 20:2266-2280 2025

MCTGCL: Mixed CNN–Transformer for Mars Hyperspectral Image Classification With Graph Contrastive Learning

Authors: Xi, B., Zhang, Y., Li, J., Zheng, T., Zhao, X., Xu, H., Xue, C., Li, Y., Chanussot, J.

Source: IEEE Transactions on Geoscience and Remote Sensing IEEE Trans. Geosci. Remote Sensing Geoscience and Remote Sensing, IEEE Transactions on. 63:1-14 2025

MTGCL: Multi-Task Graph Contrastive Learning for Identifying Cancer Driver Genes From Multi-Omics Data

Authors: Xie, M., Zhang, S., Zhang, T., Li, Y., Cui, X.

Source: IEEE Transactions on Computational Biology and Bioinformatics IEEE Trans. Comput. Biol. Bioinform. Computational Biology and Bioinformatics, IEEE Transactions on. 22(1):160-170 Jan, 2025

Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-Based Emotion Recognition

Authors: Ye, W., Zhang, Z., Teng, F., Zhang, M., Wang, J., Ni, D., Li, F., Xu, P., Liang, Z.

Source: IEEE Transactions on Affective Computing IEEE Trans. Affective Comput. Affective Computing, IEEE Transactions on. 16(1):290-305 Jan, 2025

SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection

Authors: Hu, J., Xiao, B., Jin, H., Duan, J., Wang, S., Lv, Z., Liu, X., Zhu, E.

Source: IEEE Transactions on Neural Networks and Learning Systems IEEE Trans. Neural Netw. Learning Syst. Neural Networks and Learning Systems, IEEE Transactions on. 36(1):1664-1676 Jan, 2025

Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis

Authors: Dong, Guangwei, Luo, Xuexiong, Du, Jing, Wu, Jia, Xue, Shan, Yang, Jian, Beheshti, Amin

Source: 2024 IEEE International Conference on Data Mining (ICDM) ICDM Data Mining (ICDM), 2024 IEEE International Conference on. :91-100 Dec, 2024

Relation: 2024 IEEE International Conference on Data Mining (ICDM)

A Disease-Drug Interaction Prediction Framework Based on Knowledge Graph and Graph Contrastive Learning for Recommendation System

Authors: An, Zhongwei, Xing, Jiajie, Zhang, Xianguo

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :6260-6267 Dec, 2024

Relation: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models

Authors: Zhang, Tianyu, Ren, Yuxiang, Hou, Chengbin, Lv, Hairong, Zhang, Xuegong

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :2928-2935 Dec, 2024

Relation: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

MBC-DTA: A Multi-Scale Bilinear Attention with Contrastive Learning Framework for Drug-Target Binding Affinity Prediction

Authors: Li, Huiting, Zhang, Weiyu, Shang, Yong, Lu, Wenpeng

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :832-835 Dec, 2024

Relation: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification

Authors: Cong, Shan, Sang, Zhiling, Liu, Hongwei, Luo, Haoran, Wang, Xin, Liang, Hong, Hao, Jie, Yao, Xiaohui

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :1905-1910 Dec, 2024

Relation: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

GCLM-CDR: a graph contrastive learning method with multi-omics for cancer drug response prediction

Authors: Yao, Zeyu, Zhang, Qingchen

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :1302-1307 Dec, 2024

Relation: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification

Authors: Ai, Wei, Li, Jianbin, Wang, Ze, Du, Jiayi, Meng, Tao, Li, Keqin

Source: 2024 IEEE Smart World Congress (SWC) SWC Smart World Congress (SWC), 2024 IEEE. :2520-2525 Dec, 2024

Relation: 2024 IEEE Smart World Congress (SWC)

CLGraph: A Contrastive Learning-Based Multimodal Fusion Approach for Spatial Domain Identification

Authors: Du, Sijing, Zhan, Yangen, Zhang, Yongbing

Source: 2024 IEEE International Conference on Medical Artificial Intelligence (MedAI) MEDAI Medical Artificial Intelligence (MedAI), 2024 IEEE International Conference on. :201-211 Nov, 2024

Relation: 2024 IEEE International Conference on Medical Artificial Intelligence (MedAI)

ComGCL: Comprehensive Graph Contrastive Learning for Recommendation

Authors: Li, Yongqing, Fan, Xin, Yu, Long, Tian, Shengwei

Source: 2024 12th International Conference on Information Systems and Computing Technology (ISCTech) Information Systems and Computing Technology (ISCTech), 2024 12th International Conference on. :1-5 Nov, 2024

Relation: 2024 12th International Conference on Information Systems and Computing Technology (ISCTech)

GTCODP: Code Graph-Based Transport Learning with Optimal Plan Alignment for Code Defects Prediction

Authors: Yu, Mingqian, Zhao, Yuhai

Source: 2024 3rd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE) Cloud Computing, Big Data Application and Software Engineering (CBASE), 2024 3rd International Conference on. :35-39 Oct, 2024

Relation: 2024 3rd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE)

MDS-GNN: Mutual Dual-Stream Graph Neural Network on Incomplete Graphs

Authors: Yuan, Peng, Tang, Peng

Source: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Systems, Man, and Cybernetics (SMC), 2024 IEEE International Conference on. :3577-3582 Oct, 2024

Relation: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)