CSpace

浏览/检索结果: 共5条,第1-5条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 3, 页码: 1356-1370
作者:  Feng, Wenjie;  Liu, Shenghua;  Koutra, Danai;  Cheng, Xueqi
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
Approximation algorithms  Image edge detection  Heuristic algorithms  Greedy algorithms  Optimization  Collaboration  Task analysis  Algorithm  anomaly detection  dense subgraph  graph spectral theory  large graph mining  
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 12, 页码: 12770-12784
作者:  Zeng, Weixin;  Zhao, Xiang;  Tan, Zhen;  Tang, Jiuyang;  Cheng, Xueqi
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
Entity alignment  entity matching  knowledge graph  knowledge graph alignment  
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 1, 页码: 672-685
作者:  Guan, Saiping;  Jin, Xiaolong;  Guo, Jiafeng;  Wang, Yuanzhuo None;  Cheng, Xueqi
收藏  |  浏览/下载:13/0  |  提交时间:2023/07/12
Link prediction  n-ary relational facts  knowledge graph  relatedness  
Truth Discovery by Claim and Source Embedding 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 3, 页码: 1264-1275
作者:  Lyu, Shanshan;  Ouyang, Wentao;  Wang, Yongqing;  Shen, Huawei;  Cheng, Xueqi
收藏  |  浏览/下载:40/0  |  提交时间:2021/12/01
Reliability  Object oriented modeling  Iterative methods  Probabilistic logic  Data science  Computer aided software engineering  Data models  Truth discovery  crowdsourcing  representation learning  
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2019, 卷号: 31, 期号: 6, 页码: 1181-1193
作者:  Xu, Jun;  Zeng, Wei;  Lan, Yanyan;  Guo, Jiafeng;  Cheng, Xueqi
收藏  |  浏览/下载:80/0  |  提交时间:2019/08/16
Learning to rank  ranking SVM  parameter interactions  low-rank approximation