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Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction

Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction

Xinlong Zhai
Chunchen Wang
Ruijia Wang
Jiazheng Kang
Shujie Li
B. Chen
Tengfei Ma
Zikai Zhou
Cheng Yang
C. Shi
ArXiv (abs)PDFHTML

Papers citing "Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction"

5 / 5 papers shown
Title
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
108
2,147
0
26 Feb 2019
DeepDTA: Deep Drug-Target Binding Affinity Prediction
DeepDTA: Deep Drug-Target Binding Affinity Prediction
Hakime Öztürk
E. Olmez
Arzucan Özgür
123
1,080
0
30 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
484
20,265
0
30 Oct 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,496
0
04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
679
29,183
0
09 Sep 2016

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