Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification
Authors: Kai Chen, Ye Wang, Xin Song, Siwei Chen, Han Yu, Aiping Li
IJCAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive experiments demonstrate the remarkable potential of our CSI in the following aspects: superiority, improvement, explainability, and robustness. |
| Researcher Affiliation | Academia | 1National University of Defense Technology, Changsha, China 2Defense Innovation Institute, Beijing, China {chenkai , ye.wang, songxin, yuhan17, liaiping}@nudt.edu.cn, chensiwei1257@163.com |
| Pseudocode | No | The paper does not contain any clearly labeled pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not include any statement about releasing source code or provide a link to a code repository. |
| Open Datasets | Yes | Benchmark Datasets Four TKGR benchmark datasets are leveraged to evaluate our CSI, including ICEWS14* [Han et al., 2021a], ICEWS0515 [Garc ıa-Dur an et al., 2018], WIKI [Leblay and Chekol, 2018], and GDELT [Jin et al., 2020]. Details of the four datasets we use are shown in Table 2. |
| Dataset Splits | Yes | Table 2: Statistics of the datasets. ... Train 1734,399 63,685 539,286 368,868 Validation 238,765 13,823 67,538 46,302 Test 305,241 13,222 63,110 46,159 |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for experiments, such as GPU models, CPU types, or memory specifications. |
| Software Dependencies | No | The paper does not specify version numbers for any software dependencies, libraries, or frameworks used in the experiments. |
| Experiment Setup | No | The paper mentions that "λ1 and λ2 are hyper-parameters that control the strength of disentanglement and causal intervention" but does not provide their specific numerical values or other key hyperparameters like learning rate, batch size, or optimizer settings used in the experimental setup. |