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Line 75: |
| | Basic machine learning knowledge | | | Basic machine learning knowledge |
| | [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de] | | | [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de] |
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| | Yes
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| |-
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| |-
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| | Explainable AI(XAI) / graph neural network (XGNN)
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| | In this topic, student will study how AI models / GNNs are explained by SOTA papers.
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| | Basic AI / GNN knowledge
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| | [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
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| | Yes
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| |-
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| |-
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| | Anomaly Detection in Graphs
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| | In this topic, student will read papers to learn how to detect anomaly edge/graph/subgraph… with the help of GNN.
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| | Basic AI / GNN knowledge
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| | [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
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| | Yes
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| |-
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| |-
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| | Social Media Comments Network (Intern/Project/Thesis possible)
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| | In this topic, student will study methods to crawl the dataset from social networks(e.g. X, YouTube) and utilize social network analysis in any topic you are interested in (science/education/language…) to find out the network structure and compare the difference among different topics.
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| | Python(Data crawling, cleaning, statistical data analysis, modeling and visualization), basic graph knowledge would be a plus
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| | [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
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| | No
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| |-
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| |-
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| | Influence of LLM robots in social networks (Intern/Project/Thesis possible)
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| | In this topic, student will study methods to crawl the data of LLM robots from social networks(e.g. X, Facebook) and utilize NLP and SNA to evaluate the influence of LLM robots in a specific topic.
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| | Python(Data crawling, cleaning, statistical data analysis, modeling and visualization), basic graph knowledge would be a plus
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| | [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
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| | No
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| |-
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| |-
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| | The life-circle of vanished scientific journals (Intern/Project/Thesis possible)
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| | In this topic, student will mine the information of vanished/(ongoing)/top journals, try to find out the difference features(manually/ML-based method) between journals facing different destinies.
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| | Python(Data Crawling, Cleaning, EDA, Modeling). Basic graph, XAI knowledge is a plus.
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| | [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
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| | | | | |
| | Yes | | | Yes |