.png){kind=icon}
返回
Network Embedding With Dual Generation Tasks
.png){kind=icon}
PRE
AI
DOI：10.1109/TKDE.2022.3187851.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We study the problem of Network Embedding (NE) for content-rich networks. NE models aim to learn efficient low-dimensional dense vectors for network vertices which are crucial to many network analysis tasks. The core problem of content-rich network embedding is to learn and integrate the semantic information conveyed by network structure and node content. In this paper, we propose a general end-to-end model, Dual GEnerative Network Embedding (DGENE), to leverage the complementary information of network structure and content. In this model, each vertex is regarded as an object with two modalities: node identity and textual content. Then we formulate two dual generation tasks, Node Identification (NI) which recognizes nodes' identities given their contents, and Content Generation (CG) which generates textual contents given the nodes' identities. We develop specific Content2Node and Node2Content models for the two tasks. Under the DGENE framework, the two dual models are learned by sharing and integrating intermediate layers. Extensive experimental results show that our model yields a significant performance gain compared to the state-of-the-art NE methods. Moreover, our model has an interesting and useful byproduct, that is, a component of our model can generate texts and nodes, which is potentially useful for many tasks.
Keyword:
Task analysis
Adaptation models
Semantics
Probabilistic logic
Machine translation
Decoding
Recurrent neural networks
Network embedding
content-rich network
dual generation tasks
node identification
content generation
期刊
IF:
10.4
论文数:
6.8K
被引数:
3.2W
机构
引用论文
Conjugated heat transfer and temperature distributions in a gas turbine combustion liner under base-load operation基本负荷运行下燃气轮机燃烧衬里中的共轭传热和温度分布
PREAI
分享收藏Insurance activity and economic performance: Fresh evidence from asymmetric panel causality tests
OAAI
OAAI分享收藏Effect of spatial coherence on knife-edge measurements of detector modulation transfer function
PREAI
分享收藏FASTING SERUM-AMINOACID PATTERNS IN KWASHIORKOR AND AFTER ADMINISTRATION OF DIFFERENT LEVELS OF PROTEIN.png)
The Lancet
The LancetIF0
PREAI
分享收藏
查看更多内容