元图Meta-Graph: Few shot link prediction via meta learning理解与部分翻译,程序员大本营,技术文章内容聚合第一站。
few-shot 链接预测任务总是针对特定关系定义的。在预测时,通常有多个三元组需要预测,在支持集Sr的情况下,我们称所有待预测三元组的集合为query set Qr = {r : (hj, ?)}。 少样本链接预测方法的目标是获得预测关系 r 的新三元组的能力,而只需观察关于 r 的几个三元组。因此,它的训练过程是基于一组任务 ...
Existing works for few-shot link prediction evaluate the authenticity of triplets from a single relation perspective. In this paper, we propose Hybrid Matching Network (HMNet) for few-shot link prediction, evaluating triplets from entity and relation two perspectives. At the entity-aware matching ...
arXiv:2007.10261v1 [cs.LG] 20 Jul 2020Few-shot link prediction via graph neural networks for Covid-19drug-repurposingVassilis N. Ioannidis 1 Da Zheng 1 George Karypis 1AbstractPredicting interactions among heterogenousgraph structured data has numerous applicationssuch as knowledge graph completion, r...
Learning to extrapolate knowledge: Transductive few-shot out-of-graph link prediction. In Proc. the 34th Annual Conference on Neural Information Processing Systems, Dec. 2020, Article No. 47. Wang H W, Ren H Y, Leskovec J. Relational message passing for knowledge graph completion. In Proc. ...
Few-Shot Link Prediction for Temporal Knowledge GraphsThis repository contains the implementation of the TFSC architectures described in the paper. # InstallationInstall Pytorch (>= 1.1.0)pip install pytorchPython 3.x (tested on Python 3.6)pip install python 3.6...
Junjie Li, Zilei Wang, and Xiaoming Hu.Learning intact features by erasing-inpainting for few-shot classification. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 35, pages 8401–8409, 2021. 通过对一些瞬时变换的属性(如不同的天气和照明)的线性插值来丰富数据集 ...
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs. (arXiv:1909.01515v1 [http://t.cn/RFbrPjR]) http://t.cn/AiEhIL7r
Paper:Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching Link:https://arxiv.org/abs/2303.14969(opens in new tab) Our approach is inspired by the cognitive process of analogical reasoning, which allows humans to quickly unde...
Few-Shot Knowledge Graph Completion (FSKGC) aims to predict new facts for relations with only a few observed instances in Knowledge Graph. Existing FSKGC models mostly tackle this problem by devising an effective graph encoder to enhance entity represent