Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Hierarchical Graph Capsule Network
Authors: Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang10603-10611
AAAI 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental studies demonstrate the effectiveness of HGCN and the contribution of each component. |
| Researcher Affiliation | Collaboration | 1University of Texas at Arlington 2Tencent AI Lab EMAIL |
| Pseudocode | Yes | Algorithm 1: Training process with K latent factors, L capsule layers, and R iterations of routing. |
| Open Source Code | Yes | Code: https://github.com/uta-smile/HGCN |
| Open Datasets | Yes | Eleven commonly used benchmarks including (i) seven biological graph datasets, i.e., MUTAG, NCI1, PROTEINS, D&D, ENZYMES, PTC, NCI109; and (ii) four social graph datasets, i.e., COLLAB, IMDB-Binary (IMDB-B), IMDB-Multi (IMDB-M), Reddit-BINARY (RE-B), are used in this study. |
| Dataset Splits | Yes | perform 10-fold cross-validation for performance evaluation. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for experiments. |
| Software Dependencies | No | The paper mentions adopting GCN but does not provide specific version numbers for any software dependencies. |
| Experiment Setup | Yes | We set K = 4, R = 3, λ = 0.5, β = 0.1, L = 2, and follow the same settings in previous studies (Ying et al. 2018b) to perform 10-fold cross-validation for performance evaluation. |