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 ...
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。
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 ...
# TFSCFew-Shot Link Prediction for Temporal Knowledge GraphsThis repository contains the implementation of the TFSC architectures described in the paper.# Installation Install Pytorch (>= 1.1.0) pip install pytorch Python 3.x (tested on Python 3.6) pip
Meta-Graph: Few shot Link Prediction via Meta Learning In this work, we present a meta-learning approach to Few Shot Link-Prediction. We further introduce Meta-Graph, a meta-learning algorithm which in ... AJ Bose,A Jain,P Molino,... 被引量: 0发表: 2019年 Few-shot RUL estimation bas...
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities 上周读了这篇22年的新综述,感慨论文真的看不完,而且自己看论文也容易过拟合到某个小角落出不来。这篇主要讨论了meta-learning, transfer learning, data augmentation, multimodal相关的few-shot learning方法,读起...
In this paper, we propose a new model to accomplish Few-shot KG Completion (FKGC) under complex relations, which is calledRelation representation based onPrivate andShared features forAdaptive few-shot link prediction (RPSA). In this model, we utilize the hierarchical attention mechanism for ...
论文笔记--Edge-Labeling Graph Neural Network for Few-shot Learning--CVPR2019,程序员大本营,技术文章内容聚合第一站。
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction 方向:知识图谱补全,多关系图,图神经网络 问题:少样本图外链路预测问题 方法:图外推网络,归纳推理的节点嵌入网络和转导推理的链接预测网络。 Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Netwo...
在目标场景中,同构图或异构图都可以通过链接预测任务来进行预训练。在预训练中使用链接预测源于在图上,链接获取的成本较低。对于下游任务,聚焦处理异构图,并关注few-shot场景下的节点分类和图分类。 Proposed Model: HGPROMPT Overall Framework (a),(b)阶段,对于给出的同构图与异构图,都使用链路预测作为预训练任务...