Jingcao Xu

According to our database, Jingcao Xu authored at least 6 papers between 2022 and 2023.

Collaborative distances:

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

2023

PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation.

Ziyang Liu, Chaokun Wang, Jingcao Xu, Cheng Wu, Kai Zheng, Yang Song, Na Mou, Kun Gai

CoRR, 2023

Multi-behavior Self-supervised Learning for Recommendation.

Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph Contrastive Learning with Generative Adversarial Network.

Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Instant Representation Learning for Recommendation over Large Dynamic Graphs.

Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks.

Tiankai Gu, Chaokun Wang, Cheng Wu, Jingcao Xu, Yunkai Lou, Changping Wang, Kai Xu, Can Ye, Yang Song

CoRR, 2022

HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks.

Tiankai Gu, Chaokun Wang, Cheng Wu, Yunkai Lou, Jingcao Xu, Changping Wang, Kai Xu, Can Ye, Yang Song

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022