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会议论文 [4]
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GraphMLLM: A Graph-based Multi-level Layout Language-independent Model for Document Understanding
会议论文
希腊雅典, 2024-09
作者:
He-Sen Dai
;
Xiao-Hui Li
;
Fei Yin
;
Xudong Yan
;
Shuqi Mei
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/06/05
Visual information extraction
Self-supervised pre-training
Multi-level page layouts
GMAE2: Stacking Graph Masked Autoencoder on Feature Autoencoder for Social Bot Detection
会议论文
北京市朝阳区国家会议中心, 2024-5-17
作者:
Huang, Haitao
;
Zhao, Mohan
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/07/05
Social Bot Detection
Graph Self-supervised Learning
Graph Masked Autoencoder
Self-supervised Calorie-aware Heterogeneous Graph Networks for Food Recommendation
期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications, 2023, 卷号: 19, 期号: 1s, 页码: 1-23
作者:
Song, Yaguang
;
Yang, Xiaoshan
;
Xu, Changsheng
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/06/12
Food recommendation
recipe calories
heterogeneous graph
selfsupervised learning
Self-Training Based Semi-Supervised and Semi-Paired Hashing Cross-Modal Retrieval
会议论文
Padua, Italy, 2022-07
作者:
Rongrong Jing
;
Hu Tian
;
Xingwei Zhang
;
Gang Zhou
;
Xiaolong Zheng
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/06/17
Multi-aspect self-supervised learning for heterogeneous information network
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:
Che, Feihu
;
Tao, Jianhua
;
Yang, Guohua
;
Liu, Tong
;
Zhang, Dawei
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  |  
浏览/下载:32/0
  |  
提交时间:2021/12/28
Heterogeneous information network
Self-supervised
Contrastive learning
Graph neural network
Self-supervised graph representation learning via bootstrapping
期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 88-96
作者:
Che, Feihu
;
Yang, Guohua
;
Zhang, Dawei
;
Tao, Jianhua
;
Liu, Tong
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  |  
浏览/下载:19/0
  |  
提交时间:2021/11/03
Graph representation learning
Self-supervised
Bootstrapping
Graph neural network
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Liu, Yixin
;
Li, Zhao
;
Pan, Shirui
;
Gong, Chen
;
Zhou, Chuan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2022/04/02
Anomaly detection
Task analysis
Graph neural networks
Unsupervised learning
Predictive models
Pattern matching
Training
Anomaly detection
attributed networks
contrastive self-supervised learning
graph neural networks (GNNs)
unsupervised learning
Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者:
Isaac Baffour Senkyire
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  |  
浏览/下载:13/0
  |  
提交时间:2021/11/26
Abdominal organ, supervised segmentation
semi-supervised segmentation
evaluation metrics
image segmentation
machine learning
Self-learning and embedding based entity alignment
期刊论文
KNOWLEDGE AND INFORMATION SYSTEMS, 2019, 卷号: 59, 期号: 2, 页码: 361-386
作者:
Cheng, Xueqi
;
Guan, Saiping
;
Jin, Xiaolong
;
Wang, Yuanzhuo
;
Jia, Yantao
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  |  
浏览/下载:62/0
  |  
提交时间:2019/08/16
Entity alignment
Knowledge graph
Self-learning
Embedding
Semi-supervised learning through adaptive Laplacian graph trimming
期刊论文
IMAGE AND VISION COMPUTING, 2017, 卷号: 60, 页码: 38-47
作者:
Yue, Zongsheng
;
Meng, Deyu
;
He, Juan
;
Zhang, Gemeng
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  |  
浏览/下载:10/0
  |  
提交时间:2019/11/26
Nearest neighborhood graph
Semi-supervised learning
Self-paced learning
Graph Laplacian
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