[논문읽기] Hyperbolic KG Embeddings (2020)

Low-Dimensional Hyperbolic Knowledge Graph Embeddings (2020) Ines Chami1∗, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi and Christopher Re´ https://www.aclweb.org/anthology/2020.acl-main.617.pdf https://github.com/HazyResearch/KGEmb Abstract Knowledge graph (KG) embeddings learn lowdimensional representations of entities and relations to predict missing facts. KGs often exhibit hierarchical and logical patterns which must be preserved in the embedding space. For hierarchical data,…

[논문읽기] graph2vec (2017.7)

graph2vec: Learning Distributed Representations of Graphs (2017.7) Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan, Lihui Chen, Yang Liu and Shantanu Jaiswal https://arxiv.org/pdf/1707.05005.pdf ABSTRACT Recent works on representation learning for graph structured data predominantly focus on learning distributed representations of graph substructures such as nodes and subgraphs. However, many graph analytics tasks such as graph classification and…

[논문읽기] node2vec (2016)

node2vec: Scalable Feature Learning for Networks (2016) Aditya Grover, Jure Leskovec https://arxiv.org/pdf/1607.00653.pdf ABSTRACT Prediction tasks over nodes and edges in networks require careful effort in engineering features used by learning algorithms. Recent research in the broader field of representation learning has led to significant progress in automating prediction by learning the features themselves. However, present…

[논문읽기] Multi-hop Question Answering over KG (2020)

Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings (2020) Apoorv Saxena∗ Aditay Tripathi∗ Partha Talukdar file://Improving_Multi-hop_Question_Answering_over_Knowle.pdf Abstract Knowledge Graphs (KG) are multi-relational graphs consisting of entities as nodes and relations among them as typed edges. Goal of the Question Answering over KG (KGQA) task is to answer natural language queries posed over…

[논문읽기] A Survey on Knowledge Graphs (2020.8)

A Survey on Knowledge Graphs: Representation, Acquisition and Applications (2020.8) Shaoxiong Ji, Shirui Pan, Erik Cambria, Senior Member, IEEE,Pekka Marttinen, Philip S. Yu, Life Fellow, IEEE, https://arxiv.org/pdf/2002.00388.pdf Abstract Human knowledge provides a formal understanding of the world. Knowledge graphs that represent structural relations between entities have become an increasingly popular research direction towards cognition and…

Create system service of AgensGraph on Ubuntu(Linux)

AgensGraph 는 Postgresql 10 기반으로 개발되었습니다. 그래서 systemctl start/stop/restart 등의 명령어도 postgres service 파일과 유사하게 만들면 됩니다.참고문서: CentOS 7 에 Postgresql Service 설정하기 Ubuntu(Linux) 의 경우 service 정의 파일의 위치는 /etc/systemd/system 입니다.앞에 agensgraph.service 파일을 /etc/systemd/system 위치에 생성합니다. 이후 systemctl 을 통해 service 를 enable 시키고, start/stop 를 테스트합니다.참고문서: Ubuntu 16.04 System Service 등록하기 (** Ubuntu…

HiveServer2 설치와 ES 연결

본 문서는 Elasticsearch 7.7.1 을 ES-Hadoop 을 이용해 Hive 2.3.7 로 접속하고 Beeline 으로 JDBC 연결 하는 방법을 기술한다. (Hadoop 2.10.0 설치)설치 후 HiveServer2 서비스를 실행하여 Beeline 클라이언트로 JDBC 연결을 하고, ES의 index 에 대해 select 하고 insert 하는 테스트를 수행해 본다. – 설치 방식은 단일 서버에 가상-분산 모드 기준으로 설정한다.– 이 설치 내용을 바탕으로…