MLSP-P11.2

HEURISTIC-DRIVEN, TYPE-SPECIFIC EMBEDDING IN PARALLEL SPACES FOR ENHANCING KNOWLEDGE GRAPH REASONING

Yao Liu, Yongfei Zhang, School of Computer Science and Engineering, Beihang University, Beijing, China, China; Xin Wang, Tsinghua University, Beijing, China, China; Shan Yang, School of Computer Science and Engineering, Beihang University, Beijing, China, China

Session:
MLSP-P11: Data Mining and Big Data II Poster

Track:
Machine Learning for Signal Processing

Location:
Poster Zone 3C
Poster Board PZ-3C.2

Presentation Time:
Wed, 17 Apr, 08:20 - 10:20 (UTC +9)

Session Chair:
Jian Guan, Harbin Engineering University
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Presentation
Discussion
Resources
Session MLSP-P11
MLSP-P11.1: HYPERGRAPH-ENHANCED SELF-SUPERVISED ROBUST GRAPH LEARNING FOR SOCIAL RECOMMENDATION
Shiwei Liu, Yong Xu, Siliang Ma, South China University of Technology, China
MLSP-P11.2: HEURISTIC-DRIVEN, TYPE-SPECIFIC EMBEDDING IN PARALLEL SPACES FOR ENHANCING KNOWLEDGE GRAPH REASONING
Yao Liu, Yongfei Zhang, School of Computer Science and Engineering, Beihang University, Beijing, China, China; Xin Wang, Tsinghua University, Beijing, China, China; Shan Yang, School of Computer Science and Engineering, Beihang University, Beijing, China, China
MLSP-P11.3: Pyramid: A Heterogeneous Data Integration Algorithm Based on Hierarchical Graph
Sining Jiang, Yujun Lan, Weigang Wang, Zhongwen Guo, Ocean University of China, China
MLSP-P11.4: MUTUAL INFORMATION ASSISTED GRAPH CONVOLUTION NETWORK FOR COLD-START RECOMMENDATION
Wenbo Wang, Harbin Institute of Technology, China; Ben Chen, Alibaba Group, China; Bingquan Liu, Harbin Institute of Technology, China; Xinxin Wang, Luwei Yang, Wen Jiang, Wei Ning, Alibaba Group, China; Jian Guan, Harbin Engineering University, China
MLSP-P11.5: ENHANCED KPI ANOMALY DETECTION: AN UNSUPERVISED HYBRID MODEL WITH DYNAMIC THRESHOLD
Yilin Wang, Tao Chen, Yuliang Tang, Lianfen Huang, Xiamen University, China
MLSP-P11.6: GFMAE: Self-Supervised GNN-Free Masked AutoEncoders
Yulan Hu, Sheng Ouyang, Zhirui Yang, Renmin University of China, China; Yi Zhao, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Kuaishou Technology, China; Yong Liu, Renmin University of China, China
MLSP-P11.7: RANKING ENHANCED FINE-GRAINED CONTRASTIVE LEARNING FOR RECOMMENDATION
Yunhang Yao, Min Gao, Hongwei Zhou, Zongwei Wang, Chongqing University, China; Zehua Zhao, The University of Sydney, Australia; Qingyu Xiong, Chongqing University, China
MLSP-P11.8: FDIG: A Fine-grained Data Integration approach for Group Recommendation
Qiwei Ye, National University Of Defense Technology, China; Fan Yang, Jing Lu, Changsha Environmental Protection Vocational College, China; Yu Tang, Linbo Qiao, National University Of Defense Technology, China; Yunwei Zhao, CNCERT/CC, China
MLSP-P11.9: VISUALLY DEHALLUCINATIVE INSTRUCTION GENERATION
Sungguk Cha, Jusung Lee, Younghyun Lee, Cheoljong Yang, NCSOFT, Korea, Republic of
MLSP-P11.10: CONTRASTIVE DEEP NONNEGATIVE MATRIX FACTORIZATION FOR COMMUNITY DETECTION
Yuecheng Li, Jialong Chen, Chuan Chen, Lei Yang, Zibin Zheng, Sun Yat-sen University, China
MLSP-P11.11: DYNAMIC FREQUENCY DOMAIN GRAPH CONVOLUTIONAL NETWORK FOR TRAFFIC FORECASTING
Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Institute of Computing Technology, Chinese Academy of Sciences, China; Zhaogang Cao, Academy of Cyber, China; Fei Wang, Institute of Computing Technology, Chinese Academy of Sciences, China
MLSP-P11.12: LARGE-SCALE MULTI-VIEW MULTIPLE CLUSTERING
Xiaolong Xiong, Jinhan Cui, Rui Xie, Shuzhan Guo, Jun Zhou, Southwest University, China
Contacts