目录

1、简介

2、Hyperbolic Embeddings and Knowledge Graphs

背景

 双曲空间

 知识图谱

​编辑​编辑

3、参考

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1、简介

图学习研讨会（LOGS）公众号会不定期地举行图学习相关的研讨会，邀请相关领域的专家，一线科研人员和顶会论文作者进行分享，希望能够给大家提供一个相互交流，研讨，和学习的平台。这一期我们邀请到了KDD2022 PhD thesis winner来自耶鲁大学助理教授应智韬，他将为我们带来一期双曲表示学习与知识图谱的精彩报告。

报告嘉宾：Rex Ying (应智韬@耶鲁大学）

报告题目

Hyperbolic Embeddings and Knowledge Graphs

报告摘要

The first part of the talk introduces the concept of geometric embeddings and hyperbolic embeddings. The second part covers its application in knowledge graphs.

Hierarchical relations are prevalent and indispensable for organizing human knowledge captured by a knowledge graph (KG). Here we present ConE (Cone Embedding), a KG embedding model that is able to simultaneously model multiple hierarchical as well as non-hierarchical relations in a knowledge graph. ConE embeds entities into hyperbolic cones and models relations as transformations between the cones. Experiments on standard knowledge graph benchmarks show that ConE obtains state-of-the-art performance on hierarchical reasoning tasks as well as knowledge graph completion task on hierarchical graphs.

报告人简介

Rex Ying is an assistant professor in the Department of Computer Science at Yale University. His research focus includes algorithms for graph neural networks, geometric embeddings and explainable models. He is the author of many widely used GNN algorithms such as GraphSAGE, PinSAGE and GNNExplainer. In addition, he has worked on a variety of applications of graph learning in physical simulations, social networks, knowledge graphs and biology. He developed the first billion-scale graph embedding services at Pinterest, and the graph-based anomaly detection algorithm at Amazon.

He obtained my Ph.D degree in computer science at Stanford University, advised by Jure Leskovec. His thesis focuses on expressive, scalable and explainable GNNs (graph neural networks), which is available on Github. Prior to that, he graduated from Duke University in 2016 with the highest distinction. He majored in computer science and mathematics.

2、Hyperbolic Embeddings and Knowledge Graphs

背景

 

 

 

 双曲空间

 

 

 

 

 

 

 

 

 

 

 知识图谱

A->B，B->C

A->C

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

3、参考

LOGS 第2022/08/06期 || 耶鲁大学Rex Ying(应智韬): 双曲表示学习与知识图谱_哔哩哔哩_bilibili

录播视频链接 || 耶鲁大学Rex Ying(应智韬): 双曲表示学习与知识图谱