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Publication search results
found 38 matches
- 2023
- Haijia Bao, Yu Du, Ya Li:
An Enhanced Fitness-Distance Balance Slime Mould Algorithm and Its Application in Feature Selection. KSEM (1) 2023: 164-178 - Long Chen, Mingjian Guang, Junli Wang, Chungang Yan:
Dynamic and Static Feature-Aware Microservices Decomposition via Graph Neural Networks. KSEM (1) 2023: 150-163 - Jie Cui, Fei Pu, Bailin Yang:
Dual-Dimensional Refinement of Knowledge Graph Embedding Representation. KSEM (1) 2023: 124-137 - Peihao Ding, Yan Tang, Yingpei Chen, Xiaobing Li:
DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound. KSEM (1) 2023: 59-65 - Kaifang Dong, Fuyong Xu, Baoxing Jiang, Hongye Li, Peiyu Liu:
Multitask-Based Cluster Transmission for Few-Shot Text Classification. KSEM (1) 2023: 66-77 - 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: 92-101 - Jiamei Feng, Mengchi Liu, Tingkun Nie, Caixia Zhou:
Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction. KSEM (1) 2023: 102-113 - Mengying Guo, Zhenyu Sun, Yuyi Wang, Xingwu Liu:
Graph Neural Network with Neighborhood Reconnection. KSEM (1) 2023: 40-50 - 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: 78-91 - 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: 27-39 - Jun Hu, Jinyan Wang, Quanmin Wei, Du Kai, Xianxian Li:
Learning Graph Neural Networks on Feature-Missing Graphs. KSEM (1) 2023: 255-262 - Hong Jia, Menghan Dong:
Subspace Clustering with Feature Grouping for Categorical Data. KSEM (1) 2023: 247-254 - Hong Jia, Jian Huang:
Low Redundancy Learning for Unsupervised Multi-view Feature Selection. KSEM (1) 2023: 179-190 - 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: 405-413 - Jiuqiang Li:
EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification. KSEM (1) 2023: 354-365 - Haorong Li, Zihao Chen, Jingtao Zhou, Shuangyin Li:
Reducing the Teacher-Student Gap via Elastic Student. KSEM (1) 2023: 442-453 - Liting Li, Yueheng Sun, Tianpeng Li, Minglai Shao:
Robust Few-Shot Graph Anomaly Detection via Graph Coarsening. KSEM (1) 2023: 414-429 - Yafang Li, Wenbo Wang, Guixiang Ma, Baokai Zu:
Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning. KSEM (1) 2023: 300-314 - Ye Li, Mei Wang, Jianwen Su:
An Evaluation Metric for Prediction Stability with Imprecise Data. KSEM (1) 2023: 430-441 - 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: 234-246 - 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: 276-283 - 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: 366-378 - Jieya Peng, Jiale Xu, Ya Li:
Role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks. KSEM (1) 2023: 218-233 - Chengkai Piao, Yuchen Wang, Jinmao Wei:
Dynamic Feed-Forward LSTM. KSEM (1) 2023: 191-202 - Lianwei Qu, Yong Wang, Jing Yang:
Critical Node Privacy Protection Based on Random Pruning of Critical Trees. KSEM (1) 2023: 51-58 - Simon Schramm, Ulrich Niklas, Ute Schmid:
Cluster Robust Inference for Embedding-Based Knowledge Graph Completion. KSEM (1) 2023: 284-299 - Kai Shen, Haoyu Wang, Arin Chaudhuri, Zohreh Asgharzadeh:
Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis. KSEM (1) 2023: 15-26 - Tengwei Song, Long Yin, Xudong Ma, Jie Luo:
Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation. KSEM (1) 2023: 379-392 - Qin Sun, Zheng Yang, Zhiming Liu, Quan Zou:
Black-Box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge. KSEM (1) 2023: 203-217 - Keke Tang, Tianrui Lou, Xu He, Yawen Shi, Peican Zhu, Zhaoquan Gu:
Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training. KSEM (1) 2023: 328-342
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