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Twitter-HyDrug-UR

Twitter Hypergraph Drug for User Roles

홈페이지 · 논문 1편

This benchmark hypergraph dataset, Twitter-HyDrug-UR, is derived from Twitter-HyDrug by HyGCL-DC. Twitter-HyDrug-UR is a real-world hypergraph data that describes the drug trafficking on Twitter. Unlike HyGCL-DC, which targets a drug trafficking community detection task (a multi-label node classification), we aim to identify drug user roles in drug trafficking activities on social media. To this end, we categorize node labels into four distinct roles: drug seller, drug buyer, drug user, and drug discussant, and each node is assigned to one and only one label. Consequently, we frame the problem for Twitter-HyDrug-UR as a multi-class node classification task.

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Hypergraph Contrastive Learning on Twitter-HyDrug-UR 결과 1개