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Few-shot link prediction via graph neural networks for Covid-19
  drug-repurposing

Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing

20 July 2020
V. Ioannidis
Da Zheng
George Karypis
ArXivPDFHTML

Papers citing "Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing"

12 / 12 papers shown
Title
SKG-LLM: Developing a Mathematical Model for Stroke Knowledge Graph Construction Using Large Language Models
Ali Sarabadani
Kheirolah Rahsepar Fard
Hamid Dalvand
75
0
0
09 Mar 2025
DGL-KE: Training Knowledge Graph Embeddings at Scale
DGL-KE: Training Knowledge Graph Embeddings at Scale
Da Zheng
Xiang Song
Chao Ma
Zeyuan Tan
Zihao Ye
Jin Dong
Hao Xiong
Zheng Zhang
George Karypis
63
189
0
18 Apr 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph
  Embedding
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Xinyu Fu
Jiani Zhang
Ziqiao Meng
Irwin King
91
858
0
05 Feb 2020
Meta Relational Learning for Few-Shot Link Prediction in Knowledge
  Graphs
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
Yin Hua
Wen Zhang
Wei Zhang
Qiang Chen
Huajun Chen
KELM
117
185
0
04 Sep 2019
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
...
Jiaqi Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng Zhang
AI4CE
GNN
247
748
0
03 Sep 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex
  Space
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun
Zhihong Deng
Jian-Yun Nie
Jian Tang
85
2,108
0
26 Feb 2019
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
403
15,066
0
07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
150
4,772
0
17 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
485
28,901
0
09 Sep 2016
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep
  Learning Model
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
Sheng Wang
S. Sun
Zerui Li
Renyu Zhang
Jinbo Xu
46
819
0
02 Sep 2016
Complex Embeddings for Simple Link Prediction
Complex Embeddings for Simple Link Prediction
Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
BDL
84
2,955
0
20 Jun 2016
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
80
3,174
0
20 Dec 2014
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