3
edits
Theses and Projects: Difference between revisions
→* New! Emotional Support Conversation Generation based on LLM (B/M/P)
| Line 64: | Line 64: | ||
Please contact Jing Li [jing.li@cs.uni-goettingen.de] | Please contact Jing Li [jing.li@cs.uni-goettingen.de] | ||
=== * '''New!''' | === * '''New!''' Rumor control and detection method for social networks based on GCN=== | ||
In social networks, rumors spread quickly and have a wide impact. Through GCN, the complex relationships between nodes in the network can be effectively captured, and the detection and propagation paths of rumors can be modeled and controlled. The core of this method is to improve the ability to identify and control the spread of rumors by jointly learning user behavior, information content, and network topology by building an information propagation graph. We need students in this topic. We expect you have a background in rumor detection and programming skills in Python. | In social networks, rumors spread quickly and have a wide impact. Through GCN, the complex relationships between nodes in the network can be effectively captured, and the detection and propagation paths of rumors can be modeled and controlled. The core of this method is to improve the ability to identify and control the spread of rumors by jointly learning user behavior, information content, and network topology by building an information propagation graph. We need students in this topic. We expect you have a background in rumor detection and programming skills in Python. | ||