Multi-Vector Embedding on Networks with Taxonomies
Authors: Yue Fan, Xiuli Ma
IJCAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments reveal HIME s comprehensive advantages over existing methods on tasks such as proximity search, link prediction and hierarchical classification. |
| Researcher Affiliation | Academia | Key Laboratory of Machine Perception (MOE), School of Artificial Intelligence, Peking University, Beijing, China fanyue@pku.edu.cn, xlma@pku.edu.cn |
| Pseudocode | Yes | Algorithm 1 The LRU policy. |
| Open Source Code | Yes | Code and Appendix: https://github.com/Yue Fan1014/HIME. |
| Open Datasets | Yes | A human PPI network [Szklarczyk et al., 2021] with the Cellular Components domain of Gene Ontology [Ashburner et al., 2000] being the taxonomy. A human gene regulatory network [Liu et al., 2015] depicts regulations among genes, with each gene associated with several biological pathways given by CTD [Davis et al., 2020]. All the pathways are organized as a pathway ontology [Petri et al., 2014]. We extract a dense subset of the DBLP coauthorship network with ACM key word taxonomy. |
| Dataset Splits | No | We split the node-node links with the ratio of 7:3 and the node-label links with the ratio of 9:1 for training and testing. No explicit mention of a validation set or split was found. |
| Hardware Specification | No | No specific hardware details (e.g., GPU model, CPU type, memory) used for running the experiments were provided. |
| Software Dependencies | No | No specific software dependencies with version numbers (e.g., Python 3.8, PyTorch 1.9) were provided. |
| Experiment Setup | Yes | In the experiments, we set the embedding dimensions of all methods to 256. The branch vector dimensions are 128, 64, 32 for HIME 2, HIME 4 and HIME 8 respectively so as to ensure that a node s total dimension is no greater than 256. All methods are tuned to the best and trained for 100 epochs. |