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ORCIDXiangyu Ke
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- affiliation: Zhejiang University, Hangzhou, China
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2020 – today
- 2024
[j13]Yuxiang Wang
, Chengjie Gu, Xiaoliang Xu, Xinjun Zeng, Xiangyu Ke, Tianxing Wu:
Efficient and effective (k, P)-core-based community search over attributed heterogeneous information networks. Inf. Sci. 661: 120076 (2024)- [j12]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
View-based Explanations for Graph Neural Networks. Proc. ACM Manag. Data 2(1): 40:1-40:27 (2024) - [j11]Mengzhao Wang, Weizhi Xu, Xiaomeng Yi, Songlin Wu, Zhangyang Peng, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Rentong Guo, Charles Xie:
Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment. Proc. ACM Manag. Data 2(1): V2mod014:1-V2mod014:27 (2024) - [j10]Yifan Zhu, Ruiyao Ma, Baihua Zheng, Xiangyu Ke, Lu Chen, Yunjun Gao:
GTS: GPU-based Tree Index for Fast Similarity Search. Proc. ACM Manag. Data 2(3): 142 (2024) - [j9]Zhicheng Liang, Yu Yang, Xiangyu Ke, Xiaokui Xiao, Yunjun Gao:
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs. Proc. VLDB Endow. 17(11): 3666-3679 (2024) - [j8]Mengzhao Wang, Haotian Wu, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Lu Chen:
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models. Proc. VLDB Endow. 17(12): 4333-4336 (2024) - [c14]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
View-based Explanations for Graph Neural Networks (Extended Abstract). ICDEW 2024: 1-2 - [c13]Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu:
Scalable Community Search with Accuracy Guarantee on Attributed Graphs. ICDE 2024: 2737-2750 - [c12]Linshan Qiu, Zhonggen Li, Xiangyu Ke, Lu Chen, Yunjun Gao:
Accelerating Biclique Counting on GPU. ICDE 2024: 3191-3203 - [c11]Linshan Qiu, Lu Chen, Hailiang Jie, Xiangyu Ke, Yunjun Gao, Yang Liu, Zetao Zhang:
GPU-Accelerated Batch-Dynamic Subgraph Matching. ICDE 2024: 3204-3216 - [c10]Mengzhao Wang, Xiangyu Ke, Xiaoliang Xu, Lu Chen, Yunjun Gao, Pinpin Huang, Runkai Zhu:
MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality. ICDE 2024: 4747-4759 - [c9]Yuxiang Wang, Xiaoxuan Gou, Xiaoliang Xu, Yuxia Geng, Xiangyu Ke, Tianxing Wu, Zhiyuan Yu, Runhuai Chen, Xiangying Wu:
Scalable Community Search over Large-scale Graphs based on Graph Transformer. SIGIR 2024: 1680-1690 - [c8]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views. SIGMOD Conference Companion 2024: 512-515 - [i16]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
View-based Explanations for Graph Neural Networks. CoRR abs/2401.02086 (2024) - [i15]Mengzhao Wang, Weizhi Xu, Xiaomeng Yi, Songlin Wu, Zhangyang Peng, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Rentong Guo, Charles Xie:
Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment. CoRR abs/2401.02116 (2024) - [i14]Linshan Qiu, Lu Chen, Hailiang Jie, Xiangyu Ke, Yunjun Gao, Yang Liu, Zetao Zhang:
GPU-Accelerated Batch-Dynamic Subgraph Matching. CoRR abs/2401.17018 (2024) - [i13]Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu:
Scalable Community Search with Accuracy Guarantee on Attributed Graphs. CoRR abs/2402.17242 (2024) - [i12]Linshan Qiu, Zhonggen Li, Xiangyu Ke, Lu Chen, Yunjun Gao:
Accelerating Biclique Counting on GPU. CoRR abs/2403.07858 (2024) - [i11]Yifan Zhu, Ruiyao Ma, Baihua Zheng, Xiangyu Ke, Lu Chen, Yunjun Gao:
GTS: GPU-based Tree Index for Fast Similarity Search. CoRR abs/2404.00966 (2024) - [i10]Zhicheng Liang, Yu Yang, Xiangyu Ke, Xiaokui Xiao, Yunjun Gao:
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs. CoRR abs/2406.14697 (2024) - [i9]Mengzhao Wang, Haotian Wu, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Lu Chen:
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models. CoRR abs/2407.04217 (2024) - 2023
- [j7]Xueqin Chang, Xiangyu Ke, Lu Chen, Congcong Ge, Ziheng Wei, Yunjun Gao:
Host Profit Maximization: Leveraging Performance Incentives and User Flexibility. Proc. VLDB Endow. 17(1): 51-64 (2023) - [j6]Xin-Wei Cai, Xiangyu Ke, Kai Wang, Lu Chen, Tianming Zhang, Qing Liu, Yunjun Gao:
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs. Proc. VLDB Endow. 17(4): 657-670 (2023) - [j5]Yuxiang Wang, Jun Liu, Xiaoliang Xu, Xiangyu Ke, Tianxing Wu, Xiaoxuan Gou:
Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (k, 𝒫)-Core based Embedding. ACM Trans. Knowl. Discov. Data 17(6): 85:1-85:35 (2023) - [c7]Xiaoxuan Gou, Xiaoliang Xu, Xiangying Wu, Runhuai Chen, Yuxiang Wang, Tianxing Wu, Xiangyu Ke:
Effective and Efficient Community Search with Graph Embeddings. ECAI 2023: 891-898 - [c6]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan:
Voting-based Opinion Maximization. ICDE 2023: 544-557 - [c5]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long:
Most Probable Densest Subgraphs. ICDE 2023: 1447-1460 - [i8]Xin-Wei Cai, Xiangyu Ke, Kai Wang, Lu Chen, Tianming Zhang, Qing Liu, Yunjun Gao:
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs. CoRR abs/2306.00893 (2023) - [i7]Mengzhao Wang, Xiangyu Ke, Xiaoliang Xu, Lu Chen, Yunjun Gao, Pinpin Huang, Runkai Zhu:
MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality. CoRR abs/2312.06397 (2023) - 2022
- [j4]Xiangyu Ke, Arijit Khan, Francesco Bonchi:
Multi-relation Graph Summarization. ACM Trans. Knowl. Discov. Data 16(5): 82:1-82:30 (2022) - [j3]Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari:
Reliability Maximization in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 34(2): 894-913 (2022) - [c4]Xiaoliang Xu, Jun Liu, Yuxiang Wang, Xiangyu Ke:
Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs. ICDE 2022: 338-351 - [i6]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan:
Voting-based Opinion Maximization. CoRR abs/2209.06756 (2022) - [i5]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long:
Most Probable Densest Subgraphs. CoRR abs/2212.08820 (2022) - 2021
- [c3]Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari:
Reliability Maximization in Uncertain Graphs (Extended Abstract). ICDE 2021: 2332-2333 - [i4]Xiangyu Ke, Arijit Khan, Francesco Bonchi:
Multi-relation Graph Summarization. CoRR abs/2112.15488 (2021)
2010 – 2019
- 2019
- [b1]Xiangyu Ke:
Querying and mining complex graphs : uncertainty and multi-relations. Nanyang Technological University, Singapore, 2019 - [j2]Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan:
An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs. Proc. VLDB Endow. 12(8): 864-876 (2019) - [i3]Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari:
Budgeted Reliability Maximization in Uncertain Graphs. CoRR abs/1903.08587 (2019) - [i2]Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan:
An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs. CoRR abs/1904.05300 (2019) - 2018
- [j1]Xiangyu Ke, Michelle Teo, Arijit Khan, Vijaya Krishna Yalavarthi:
A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors. Proc. VLDB Endow. 11(12): 1922-1925 (2018) - [c2]Xiangyu Ke, Arijit Khan, Gao Cong:
Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks. SIGMOD Conference 2018: 1097-1111 - 2017
- [c1]Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan:
Select Your Questions Wisely: For Entity Resolution With Crowd Errors. CIKM 2017: 317-326 - [i1]Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan:
Probabilistic Entity Resolution with Imperfect Crowd. CoRR abs/1701.08288 (2017)
Coauthor Index
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