Research on Temporal Graph for Link Prediction Method Based on Deep Learning
Abstract
References
Index Terms
- Research on Temporal Graph for Link Prediction Method Based on Deep Learning
Recommendations
Temporal subgraph matching method for multi-connected temporal graph
AbstractTemporal graph matching is used to find a matching subgraph set that satisfies temporal and topological information on the temporal graph. It is widely used in real scenarios and provides important support for big data mining and analysis. Most ...
Multimodal Link Prediction Method for Commodity Knowledge Graph
HP3C '23: Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and CommunicationsKnowledge graph link prediction is to predict whether there is a relation between two entities according to the existing knowledge graph data, which is of great significance for improving the existing knowledge graph. Based on the application of ...
A double attention graph network for link prediction on temporal graph
AbstractMany data in the real world can be abstracted into the format of dynamic graph, and predicting the connection relationship between nodes in graph is a problem that is often faced in the researching. With the development of deep ...
Highlights- Computing the temporal graph node representation vector by global and local perspective.
Comments
Information & Contributors
Information
Published In
![cover image ACM Other conferences](/cms/asset/1c0318a6-c30c-457a-8b6a-7ba3faf0a45b/3690407.cover.jpg)
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 28Total Downloads
- Downloads (Last 12 months)28
- Downloads (Last 6 weeks)6
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderFull Text
View this article in Full Text.
Full TextHTML Format
View this article in HTML Format.
HTML Format