Xingjian Zhang

According to our database, Xingjian Zhang authored at least 6 papers between 2022 and 2023.

Collaborative distances:

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

2023

Can LLMs Effectively Leverage Graph Structural Information: When and Why.

Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma

CoRR, 2023

The 3rd Workshop on Graph Learning Benchmarks (GLB 2023).

Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik

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

2022

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.

Weng Lam Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Xingjian Zhang, Yuxiao Dong, Jiahua Liu, Maodi Hu, Jie Tang

CoRR, 2022

Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling.

Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks.

Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei

Proceedings of the Learning on Graphs Conference, 2022

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services.

Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022