Embedding Uncertain Knowledge Graphs
Authors: Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo3363-3370
AAAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments are conducted on three real-world uncertain KGs via three tasks, i.e. confidence prediction, relation fact ranking, and relation fact classification. |
| Researcher Affiliation | Academia | University of California, Los Angeles Los Angeles, CA, 90095, USA {shirleychen, muhaochen, swj0419, yzsun, zaniolo}@cs.ucla.edu |
| Pseudocode | No | The paper does not contain any sections or figures explicitly labeled 'Pseudocode' or 'Algorithm', nor does it present structured code blocks. |
| Open Source Code | No | The paper does not contain any explicit statements about making the source code available, nor does it provide a link to a code repository. |
| Open Datasets | Yes | The evaluation is conducted on three datasets named as CN15k, NL27k, and PPI5k, which are extracted from Concept Net, NELL, and the Protein-Protein Interaction Knowledge Base STRING (Szklarczyk et al. 2016) respectively. |
| Dataset Splits | Yes | We split each dataset into three parts: 85% for training, 7% for validation, and 8% for testing. |
| Hardware Specification | No | The paper does not specify any particular hardware components (e.g., CPU, GPU models) used for running the experiments. |
| Software Dependencies | No | The paper mentions using 'Adam optimizer' and 'the implementation given by (Trouillon et al. 2016)' but does not provide specific version numbers for any software dependencies. |
| Experiment Setup | Yes | We select among the following sets of hyperparameter values: learning rate lr {0.001, 0.005, 0.01}, dimensionality k {64, 128, 256, 512}, batch size b {128, 256, 512, 1024}, The L2 regularization coefficient λ is fixed as 0.005. Training was stopped using early stopping based on MSE on the validation set, computed every 10 epochs. |