PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space
Authors: Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Shuchao Li, Qing Liu, Nayu Liu, Shensi Wang4308-4317
AAAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results demonstrate that Polygon E shows SOTA performance on all benchmark datasets and generalizes well on binary data. |
| Researcher Affiliation | Academia | 1 Aerospace Information Research Institute, Chinese Academy of Sciences 2 Key Laboratory of Network Information System Technology(NIST), Aerospace Information Research Institute 3 School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences |
| Pseudocode | No | The paper describes the model mathematically but does not include structured pseudocode or an algorithm block. |
| Open Source Code | No | The paper does not explicitly state that source code for the described methodology is available, nor does it provide a link to a code repository. |
| Open Datasets | Yes | Knowledge base completion (KBC) experiments are conducted on JF17K (Wen et al. 2016), Wiki People (Guan et al. 2019), and FB-AUTO (Fatemi et al. 2020). |
| Dataset Splits | Yes | Table 1: Statistics of Datasets (showing #Train, #Valid, #Test columns with specific numbers for each dataset like Wiki People: #Train 305,725, #Valid 38,223, #Test 38,281). |
| Hardware Specification | Yes | Experiments are implemented on a single NVIDIA RTX 3080 GPU. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers, such as programming language versions or library versions (e.g., PyTorch 1.x). |
| Experiment Setup | Yes | Embedding dimensions are set to 50 for a fair comparison with RAM. Other hyper-parameters are chosen from grid search. Concretely, learning rate η is selected from {10, 15, 30, 50, 100}, batch size nbatch are chosen from {64, 128, 256}, number of negative samples nneg are selected from {25, 50, 100}. α and β in equation (13) are integers sampled from {1, 2, 3, 4, 5, 6}. Experiments are implemented on a single NVIDIA RTX 3080 GPU. |