Dynamic Heterogeneous Graph Attention Neural Architecture Search
Authors: Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu
AAAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive experiments on real-world dynamic heterogeneous graph datasets demonstrate that our proposed method significantly outperforms state-of-the-art baselines for tasks including link prediction, node classification and node regression. |
| Researcher Affiliation | Collaboration | Zeyang Zhang1*, Ziwei Zhang1, Xin Wang1 , Yijian Qin1, Zhou Qin2, Wenwu Zhu1 1Tsinghua University 2Alibaba Group |
| Pseudocode | No | The paper describes methods and algorithms textually but does not include a formally labeled pseudocode or algorithm block. |
| Open Source Code | Yes | The codes are publicly available1. 1https://github.com/wondergo2017/DHGAS |
| Open Datasets | Yes | We conduct experiments for the link prediction task on two datasets: an academic citation dataset Aminer (Ji et al. 2021) and a recommendation dataset Ecomm (Xue et al. 2020)... adopting two datasets: a business review dataset Yelp (Ji et al. 2021) and an e-commerce risk management dataset Drugs3. For the node regression task, we adopt an epidemic disease dataset COVID-19 (Fan et al. 2022). |
| Dataset Splits | No | The paper does not provide specific train/validation/test dataset split percentages or absolute counts for each split. |
| Hardware Specification | No | No specific hardware details (e.g., GPU/CPU models, processor types, memory amounts, or detailed computer specifications) used for running experiments are provided. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers (e.g., library or solver names with version numbers). |
| Experiment Setup | Yes | We report the results on the Aminer dataset when the localization constraint hyperparameters KLo is chosen from {4, 8, 10, 20, 40} |