Xiangyu Ke

According to our database, Xiangyu Ke authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment.

Mengzhao Wang, Weizhi Xu, Xiaomeng Yi, Songlin Wu, Zhangyang Peng, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Rentong Guo, Charles Xie

Proc. ACM Manag. Data, February, 2024

View-based Explanations for Graph Neural Networks.

Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao

Proc. ACM Manag. Data, February, 2024

Efficient and effective (k, P)-core-based community search over attributed heterogeneous information networks.

Yuxiang Wang, Chengjie Gu, Xiaoliang Xu, Xinjun Zeng, Xiangyu Ke, Tianxing Wu

Inf. Sci., 2024

GTS: GPU-based Tree Index for Fast Similarity Search.

Yifan Zhu, Ruiyao Ma, Baihua Zheng, Xiangyu Ke, Lu Chen, Yunjun Gao

CoRR, 2024

Accelerating Biclique Counting on GPU.

Linshan Qiu, Zhonggen Li, Xiangyu Ke, Lu Chen, Yunjun Gao

CoRR, 2024

Scalable Community Search with Accuracy Guarantee on Attributed Graphs.

Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu

CoRR, 2024

GPU-Accelerated Batch-Dynamic Subgraph Matching.

Linshan Qiu, Lu Chen, Hailiang Jie, Xiangyu Ke, Yunjun Gao, Yang Liu, Zetao Zhang

CoRR, 2024

2023

Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs.

Xin-Wei Cai, Xiangyu Ke, Kai Wang, Lu Chen, Tianming Zhang, Qing Liu, Yunjun Gao

Proc. VLDB Endow., December, 2023

Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (<i>k</i>, 𝒫)-Core based Embedding.

Yuxiang Wang, Jun Liu, Xiaoliang Xu, Xiangyu Ke, Tianxing Wu, Xiaoxuan Gou

ACM Trans. Knowl. Discov. Data, July, 2023

Host Profit Maximization: Leveraging Performance Incentives and User Flexibility.

Xueqin Chang, Xiangyu Ke, Lu Chen, Congcong Ge, Ziheng Wei, Yunjun Gao

Proc. VLDB Endow., 2023

MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality.

Mengzhao Wang, Xiangyu Ke, Xiaoliang Xu, Lu Chen, Yunjun Gao, Pinpin Huang, Runkai Zhu

CoRR, 2023

Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs.

Xin-Wei Cai, Xiangyu Ke, Kai Wang, Lu Chen, Tianming Zhang, Qing Liu, Yunjun Gao

CoRR, 2023

Most Probable Densest Subgraphs.

Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long

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

Voting-based Opinion Maximization.

Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan

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

Effective and Efficient Community Search with Graph Embeddings.

Xiaoxuan Gou, Xiaoliang Xu, Xiangying Wu, Runhuai Chen, Yuxiang Wang, Tianxing Wu, Xiangyu Ke

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

2022

Reliability Maximization in Uncertain Graphs.

Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari

IEEE Trans. Knowl. Data Eng., 2022

Multi-relation Graph Summarization.

Xiangyu Ke, Arijit Khan, Francesco Bonchi

ACM Trans. Knowl. Discov. Data, 2022

Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs.

Xiaoliang Xu, Jun Liu, Yuxiang Wang, Xiangyu Ke

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

2021

Reliability Maximization in Uncertain Graphs (Extended Abstract).

Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019

Querying and mining complex graphs : uncertainty and multi-relations

Xiangyu Ke

PhD thesis, 2019

An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs.

Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan

Proc. VLDB Endow., 2019

Budgeted Reliability Maximization in Uncertain Graphs.

Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari

CoRR, 2019

2018

A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors.

Xiangyu Ke, Michelle Teo, Arijit Khan, Vijaya Krishna Yalavarthi

Proc. VLDB Endow., 2018

Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks.

Xiangyu Ke, Arijit Khan, Gao Cong

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Probabilistic Entity Resolution with Imperfect Crowd.

Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan

CoRR, 2017

Select Your Questions Wisely: For Entity Resolution With Crowd Errors.

Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017