Meng Cao

According to our database, Meng Cao authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels.

Jinliang Yuan, Hualei Yu, Meng Cao, Jianqing Song, Junyuan Xie, Chongjun Wang

Appl. Intell., November, 2023

Self-supervised short text classification with heterogeneous graph neural networks.

Meng Cao, Jinliang Yuan, Hualei Yu, Baoming Zhang, Chongjun Wang

Expert Syst. J. Knowl. Eng., July, 2023

A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding.

Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction.

Meng Cao, Jianqing Song, Jinliang Yuan, Baoming Zhang, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

A unified structure learning framework for graph attention networks.

Jinliang Yuan, Meng Cao, Hao Cheng, Hualei Yu, Junyuan Xie, Chongjun Wang

Neurocomputing, 2022

LSEGNN: Encode Local Topology Structure in Graph Neural Networks.

Ming Xu, Baoming Zhang, Meng Cao, Hualei Yu, Chongjun Wang

Proceedings of the IEEE International Performance, 2022

NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks.

Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network.

Meng Cao, Jinliang Yuan, Ming Xu, Hualei Yu, Chongjun Wang

IEEE Access, 2021

EPINE: Enhanced Proximity Information Network Embedding.

Ming Xu, Luoyi Zhang, Baoming Zhang, Meng Cao, Jinliang Yuan, Chongjun Wang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

GSAPool: Gated Structure Aware Pooling for Graph Representation Learning.

Hualei Yu, Jinliang Yuan, Hao Cheng, Meng Cao, Chongjun Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning.

Hualei Yu, Chong Luo, Yuntao Du, Hao Cheng, Meng Cao, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2021

Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks.

Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

A Semantic Subgraphs Based Link Prediction Method for Heterogeneous Social Networks with Graph Attention Networks.

Kai Zhu, Meng Cao

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks.

Meng Cao, Xiying Ma, Kai Zhu, Ming Xu, Chongjun Wang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

MALP: A More Effective Meta-Paths Based Link Prediction Method in Partially Aligned Heterogeneous Social Networks.

Kai Zhu, Meng Cao, Heng-Yang Lu

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks.

Meng Cao, Xiying Ma, Ming Xu, Chongjun Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019