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。
这篇主要讨论了meta-learning, transfer learning, data augmentation, multimodal相关的few-shot learning方法,读起来还不错,我把相关的论文整理了出来,并打包好了方便大家直接刷起来,大家可以关注我的公众号“皮皮嬉”并发送“论文集”即可获取下载地址。也可以根据我下文罗列的论文单独去搜来看。 整理不易,求关注求...
4.1、关系元学习 Relation-Meta Learner 4.2、Embedding Learner 1、摘要: 在这项工作中提出了一个元关系学习 (MetaR) 框架来执行知识图谱中常见但具有挑战性的少样本链接预测,即通过仅观察几个关联三元组来预测关于关系的新三元组。 2、简介 文章提出,最重要的信息从几个现有实例转移到不完整的三元组应该成为一项...
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...
Gui, L.Y., Wang, Y.X., Ramanan, D., Moura, J.M.F.: Few-shot human motion pre- diction via meta-learning. In: European Conference on Computer Vision (ECCV), Munich, Germany, September 2018L.-Y. Gui, Y.-X. Wang, D. Ramanan, and J. Moura. 2018. Few-shot human motion ...
highlighting critical roles forRB1andSMAD4in the response to CDK inhibition andRNF8andCHD4in the response to ATM inhibition. The few-shot learning framework provides a bridge from the many samples surveyed in high-throughput screens (n-of-many) to the distinctive contexts of individual patients ...
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)
Few-shot relation learningComplex relationLink predictionKnowledge graph completionAlthough Knowledge Graphs (KGs) provide great value in many applications, they are often incomplete with many missing facts. KG Completion (KGC) is a popular technique for knowledge supplement. However, there are two ...
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...
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...