KSEM (1)

Keyphrases

Publications

2023

Hong Jia, Menghan Dong
Subspace Clustering with Feature Grouping for Categorical Data. KSEM (1) (2023)
Yadan Han, Guangquan Lu, Jiecheng Li, Fuqing Ling, Wanxi Chen, Liang Zhang
Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties. KSEM (1) (2023)
Qin Sun, Zheng Yang, Zhiming Liu, Quan Zou
Black-Box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge. KSEM (1) (2023)
Jie Cui, Fei Pu, Bailin Yang
Dual-Dimensional Refinement of Knowledge Graph Embedding Representation. KSEM (1) (2023)
Haijia Bao, Yu Du, Ya Li
An Enhanced Fitness-Distance Balance Slime Mould Algorithm and Its Application in Feature Selection. KSEM (1) (2023)
Kaifang Dong, Fuyong Xu, Baoxing Jiang, Hongye Li, Peiyu Liu
Multitask-Based Cluster Transmission for Few-Shot Text Classification. KSEM (1) (2023)
Ziyan Ke, Lingxi Peng, Yiduan Chen, Jie Liu, Xuebing Luo, Jinhui Lin, Zhiwen Yu
MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs. KSEM (1) (2023)
Yafang Li, Wenbo Wang, Guixiang Ma, Baokai Zu
Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning. KSEM (1) (2023)
Jiayang Wu, Zhenlian Qi, Wensheng Gan
Multi-Dimensional Graph Rule Learner. KSEM (1) (2023)
Zeqian Wei, Hui Kang, Hongjuan Li, Geng Sun, Jiahui Li, Xinyu Bao, Bo Zhu
Joint Feature Selection and Classifier Parameter Optimization: A Bio-Inspired Approach. KSEM (1) (2023)
Simon Schramm, Ulrich Niklas, Ute Schmid
Cluster Robust Inference for Embedding-Based Knowledge Graph Completion. KSEM (1) (2023)
Tiechui Yao, Jue Wang, Junyu Gu, Yumeng Shi, Fang Liu, Xiaoguang Wang, Yangang Wang, Xuebin Chi
A Sparse Matrix Optimization Method for Graph Neural Networks Training. KSEM (1) (2023)
Yuhang Liu, Yi Zhang, Yang Cao, Ye Zhu, Nayyar Zaidi, Chathu Ranaweera, Gang Li, Qingyi Zhu
Kernel-Based Feature Extraction for Time Series Clustering. KSEM (1) (2023)
Kai Shen, Haoyu Wang, Arin Chaudhuri, Zohreh Asgharzadeh
Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis. KSEM (1) (2023)
Junjie Hu, Chenyou Fan, Hualie Jiang, Xiyue Guo, Yuan Gao, Xiangyong Lu, Tin Lun Lam
Boosting LightWeight Depth Estimation via Knowledge Distillation. KSEM (1) (2023)
Jieya Peng, Jiale Xu, Ya Li
Role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks. KSEM (1) (2023)
Chengkai Piao, Yuchen Wang, Jinmao Wei
Dynamic Feed-Forward LSTM. KSEM (1) (2023)
Jiuqiang Li
EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification. KSEM (1) (2023)
Qianqian Peng, Ziming Tang, Xinzhi Yao, Sizhuo Ouyang, Zhihan He, Jingbo Xia
A Flexible Generative Model for Joint Label-Structure Estimation from Multifaceted Graph Data. KSEM (1) (2023)
Haorong Li, Zihao Chen, Jingtao Zhou, Shuangyin Li
Reducing the Teacher-Student Gap via Elastic Student. KSEM (1) (2023)
Ruiyin Yang, Xiao Wei
Dealing with Over-Reliance on Background Graph for Few-Shot Knowledge Graph Completion. KSEM (1) (2023)
Lianwei Qu, Yong Wang, Jing Yang
Critical Node Privacy Protection Based on Random Pruning of Critical Trees. KSEM (1) (2023)
Yang Zou, Qifei Wang, Zhen Wang, Jian Zhou, Xiaoqin Zeng
Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention. KSEM (1) (2023)
Tengwei Song, Long Yin, Xudong Ma, Jie Luo
Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation. KSEM (1) (2023)
Peihao Ding, Yan Tang, Yingpei Chen, Xiaobing Li
DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound. KSEM (1) (2023)
Jiamei Feng, Mengchi Liu, Tingkun Nie, Caixia Zhou
Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction. KSEM (1) (2023)
Ye Li, Mei Wang, Jianwen Su
An Evaluation Metric for Prediction Stability with Imprecise Data. KSEM (1) (2023)
Hong Jia, Jian Huang
Low Redundancy Learning for Unsupervised Multi-view Feature Selection. KSEM (1) (2023)
Long Chen, Mingjian Guang, Junli Wang, Chungang Yan
Dynamic and Static Feature-Aware Microservices Decomposition via Graph Neural Networks. KSEM (1) (2023)
Keke Tang, Tianrui Lou, Xu He, Yawen Shi, Peican Zhu, Zhaoquan Gu
Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training. KSEM (1) (2023)
Yi Liang, Shuai Zhao, Bo Cheng, Hao Yang
Twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion. KSEM (1) (2023)
Qiyun Fan, Yan Tang, Xiaoming Ding, Qianglong Huangfu, Peihao Ding
RTAD-TP: Real-Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two-Parameter Estimation. KSEM (1) (2023)
Mengying Guo, Zhenyu Sun, Yuyi Wang, Xingwu Liu
Graph Neural Network with Neighborhood Reconnection. KSEM (1) (2023)
Wen Zhang, Zhengjiang Liu, Yan Xue, Ruibo Wang, Xuefei Cao, Jihong Li
An Improved Cross-Validated Adversarial Validation Method. KSEM (1) (2023)
Jun Hu, Jinyan Wang, Quanmin Wei, Du Kai, Xianxian Li
Learning Graph Neural Networks on Feature-Missing Graphs. KSEM (1) (2023)
Liting Li, Yueheng Sun, Tianpeng Li, Minglai Shao
Robust Few-Shot Graph Anomaly Detection via Graph Coarsening. KSEM (1) (2023)
Tian Wang, Zhiguang Wang, Rongliang Wang, Dawei Li, Qiang Lu
Contextual Information Augmented Few-Shot Relation Extraction. KSEM (1) (2023)

volume 14117, 2023

Knowledge Science, Engineering and Management - 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part I KSEM (1) 14117 (2023)

2022

volume 13368, 2022

Knowledge Science, Engineering and Management - 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part I KSEM (1) 13368 (2022)