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COVID-19 Knowledge Graph: Accelerating Information Retrieval and
  Discovery for Scientific Literature

COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature

24 July 2020
Colby Wise
V. Ioannidis
Miguel Calvo Rebollar
Xiang Song
George D. Price
Ninad Kulkarni
Ryan Brand
Parminder Bhatia
George Karypis
ArXivPDFHTML

Papers citing "COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature"

16 / 16 papers shown
Title
CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completion
CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completion
Tyler Bikaun
Michael Stewart
Wei Liu
29
0
0
07 May 2024
An Information Retrieval and Extraction Tool for Covid-19 Related Papers
An Information Retrieval and Extraction Tool for Covid-19 Related Papers
Marcos V. L. Pivetta
18
0
0
20 Jan 2024
Exploring the evolution of research topics during the COVID-19 pandemic
Exploring the evolution of research topics during the COVID-19 pandemic
Francesco Invernici
Anna Bernasconi
S. Ceri
28
5
0
05 Oct 2023
SKG: A Versatile Information Retrieval and Analysis Framework for
  Academic Papers with Semantic Knowledge Graphs
SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs
Yamei Tu
Rui Qiu
Hang Shen
29
2
0
07 Jun 2023
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph
Cheng Deng
Jiaxin Ding
Luoyi Fu
Weinan Zhang
Xinbing Wang
Cheng Zhou
16
2
0
14 Apr 2023
Knowledge Graphs: Opportunities and Challenges
Knowledge Graphs: Opportunities and Challenges
Ciyuan Peng
Feng Xia
Mehdi Naseriparsa
Francesco Osborne
22
242
0
24 Mar 2023
Large-Scale Knowledge Synthesis and Complex Information Retrieval from
  Biomedical Documents
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents
Shreya Saxena
Raj Sangani
Siva Prasad
Shubham Kumar
Mihir Athale
Rohan Awhad
Vishal Vaddina
19
5
0
14 Feb 2023
Knowledge Graph Embedding: A Survey from the Perspective of
  Representation Spaces
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces
Jiahang Cao
Jinyuan Fang
Zaiqiao Meng
Shangsong Liang
31
60
0
07 Nov 2022
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph
  Construction
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction
Yunzhi Yao
Shengyu Mao
Ningyu Zhang
Xiangnan Chen
Shumin Deng
Xi Chen
Huajun Chen
28
9
0
19 Oct 2022
Recognizing and Extracting Cybersecurtity-relevant Entities from Text
Recognizing and Extracting Cybersecurtity-relevant Entities from Text
Case Hanks
Michael Maiden
P. Ranade
Timothy W. Finin
A. Joshi
22
4
0
02 Aug 2022
Neural Entity Recognition with Gazetteer based Fusion
Neural Entity Recognition with Gazetteer based Fusion
Q. Sun
Parminder Bhatia
24
8
0
27 May 2021
Zero-shot Medical Entity Retrieval without Annotation: Learning From
  Rich Knowledge Graph Semantics
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics
Luyang Kong
C. Winestock
Parminder Bhatia
AI4MH
16
7
0
26 May 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge
  Graph Perspective
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
Stephen Bonner
Ian P Barrett
Cheng Ye
Rowan Swiers
O. Engkvist
A. Bender
Charles Tapley Hoyt
William L. Hamilton
32
94
0
19 Feb 2021
Accelerating COVID-19 research with graph mining and transformer-based
  learning
Accelerating COVID-19 research with graph mining and transformer-based learning
Ilya Tyagin
Ankit Kulshrestha
Justin Sybrandt
Krish Matta
M. Shtutman
Ilya Safro
OOD
AI4CE
31
6
0
10 Feb 2021
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
Tom Hope
Aida Amini
David Wadden
Madeleine van Zuylen
Sravanthi Parasa
Eric Horvitz
Daniel S. Weld
Roy Schwartz
Hannaneh Hajishirzi
34
29
0
08 Oct 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
Jun Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
206
747
0
03 Sep 2019
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