A Non-parametric Graph Clustering Framework for Multi-View Data
Authors: Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu
AAAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Numerous experiments reveal Np GC s strong points compared to lots of classical approaches. |
| Researcher Affiliation | Academia | 1School of Computer, National University of Defense Technology, Changsha, 410073, China 2Intelligent Game and Decision Lab, Beijing, 100071, China |
| Pseudocode | Yes | Algorithm 1: Solution to the problem (2) |
| Open Source Code | No | The paper does not provide an explicit statement or link for open-source code. |
| Open Datasets | Yes | All experiments are conducted on the following popular datasets, with sample sizes ranging from 512 to 126054: 1. Calte101view3 1: This dataset... 1https://www.vision.caltech.edu/datasets/ |
| Dataset Splits | No | The paper uses standard public datasets but does not explicitly state the specific training/validation/test splits used for these datasets. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers. |
| Experiment Setup | No | The paper describes the algorithm and its solution steps but does not provide specific experimental setup details such as hyperparameter values, learning rates, or batch sizes. |