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..
Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs
Authors: Zemin Liu, Vincent Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chang, Minghui Wu, Jing Ying
AAAI 2018 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We evaluate D2AGE on three benchmark data sets with six semantic relations, and we show that D2AGE outperforms the state-of-the-art baselines. We release the code on https://github.com/shuai OKshuai. |
| Researcher Affiliation | Academia | 1 Zhejiang University, China; 2 Advanced Digital Sciences Center, Singapore; 3 Zhejiang University City College, China; 4 University of Illinois at Urbana-Champaign, USA |
| Pseudocode | Yes | Algorithm 1 Distance-aware DAG Generation; Algorithm 2 Distance-aware DAG Embedding |
| Open Source Code | Yes | We release the code on https://github.com/shuai OKshuai. |
| Open Datasets | Yes | The Linkedin dataset (Li, Wang, and Chang 2014) contains two symmetric relations: schoolmate and colleague; the Facebook dataset (Li, Wang, and Chang 2014) contains two symmetric relations: classmate and family; and the DBLP dataset (Wang et al. 2010) contains two asymmetric relations: advisor and advisee. |
| Dataset Splits | Yes | We randomly sample 20% of queries as the training set and 80% as the test set. We repeat this procedure for five times and report the average performance. |
| Hardware Specification | Yes | We run our experiments on Linux machines with eight 2.27GHz Intel Xeon(R) CPUs and 32GB memory. |
| Software Dependencies | Yes | We use java-1.8 and Theano (Team 2016) for development. |
| Experiment Setup | Yes | In the experiments, we set λ = 0.0001, then we tune parameters d, α, β, μ for different datasets. |