Description
Code for the titled paper. Research objective is to find task-aware stochastic attachment models for cold start node inference. Data-sets used are available online.
Synthetic Data: Contains the code for the experimental setup shown in Section IV A of the paper
Movielens100k: Contains the code for the experimental setup shown in Section IV B of the paper (Data-Set used here to be found online)
Blog: Contains the code for the experimental setup shown in Section IV C of the paper (Data-Set used here to be found online)
Synthetic Data: Contains the code for the experimental setup shown in Section IV A of the paper
Movielens100k: Contains the code for the experimental setup shown in Section IV B of the paper (Data-Set used here to be found online)
Blog: Contains the code for the experimental setup shown in Section IV C of the paper (Data-Set used here to be found online)
| Date made available | 13 Nov 2024 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
| Date of data production | 2024 - |
Research output
- 1 Article
-
Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs
Das, B., Hanjalic, A. & Isufi, E., 2022, In: IEEE Transactions on Signal and Information Processing over Networks. 8, p. 894-906 13 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)33 Downloads (Pure)
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