跳至主導覽
跳至搜尋
跳過主要內容
國立中央大學 首頁
說明與常見問題
English
中文
首頁
人才檔案
研究單位
研究成果
資料集
榮譽/獲獎
學術活動
新聞/媒體
影響
按專業知識、姓名或所屬機構搜尋
C3D-LSTM: a novel convolution-3D-based LSTM for link prediction in dynamic social networks
Yi Cheng Chen
, Tipajin Thaipisutikul
資訊管理學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
1
引文 斯高帕斯（Scopus）
總覽
指紋
指紋
深入研究「C3D-LSTM: a novel convolution-3D-based LSTM for link prediction in dynamic social networks」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Social Networks
100%
Link Prediction
100%
Dynamic Social Networks
100%
Link-based
50%
Network Structure
50%
Consumer Experience
50%
State-of-the-art Techniques
50%
Dynamic Variation
50%
Friendship
50%
User-centric
50%
Convolution Neural Network
50%
Consumer Loyalty
50%
Service Provider
50%
Personal Data
50%
Spatial-temporal Features
50%
Structure Data
50%
Static Networks
50%
Network Context
50%
Memory Network
50%
Social Links
50%
3D Convolution
50%
Network Snapshot
50%
Storage Layer
50%
Link Prediction Analysis
50%
Complex Social Networks
50%
Social Network Links
50%
Social Network Modeling
50%
Network Link Prediction
50%
Long-term Temporal Dynamics
50%
Computer Science
Long Short-Term Memory Network
100%
Link Prediction
100%
Social Network
100%
Personal Data
16%
Lstm
16%
Convolutional Neural Network
16%
Temporal Feature
16%
Temporal Dynamic
16%
Network Modeling
16%
Network Snapshot
16%
Network Structure
16%
Service Provider
16%