Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques
Authors: Bopeng Li, Sougata Chaudhuri, Ambuj Tewari
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We conduct extensive experiments on publicly available co-authorship, citation and metabolic networks to demonstrate the merits of our method. |
| Researcher Affiliation | Academia | Bopeng Li, Sougata Chaudhuri, and Ambuj Tewari Department of Statistics, University of Michigan 1085 South University Ave. Ann Arbor, Michigan 48109-1107 {bopengli, sougata, tewaria}@umich.edu |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper mentions that further details can be found in the full version on arXiv, which is a paper repository, not a code repository. It does not provide a direct link to any source code for the described methodology. |
| Open Datasets | Yes | We conduct experiments on 5 popular, publicly available network datasets, including 3 citation networks (Cite Seer [N=3312], Cora [N=2708], Web KB [N=877]), 1 coauthorship network (NIPS [N=2037]) and 1 metabolic network (Metabolic [N=668]). |
| Dataset Splits | No | The paper describes how training data is constructed but does not provide specific details on how the datasets are split into training, validation, and test sets (e.g., percentages, sample counts, or references to standard splits). |
| Hardware Specification | No | The paper does not provide any specific details about the hardware (e.g., CPU, GPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper does not specify any software dependencies with version numbers. |
| Experiment Setup | No | The paper states that "Further details on dataset descriptions, baselines, experiments setup, and more empirical results can be found in the full version of the paper at http://arxiv.org/abs/1511.04383", but these details are not present in the provided text. |