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SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient
  and Generalizable Protein-Protein Interaction Prediction

SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction

15 May 2023
Ziyuan Zhao
Peisheng Qian
Xulei Yang
Zeng Zeng
Cuntai Guan
W. Tam
Xiaoli Li
ArXiv (abs)PDFHTML

Papers citing "SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction"

17 / 17 papers shown
Title
LE-UDA: Label-efficient unsupervised domain adaptation for medical image
  segmentation
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
Ziyuan Zhao
Fangcheng Zhou
Kaixin Xu
Zeng Zeng
Cuntai Guan
S Kevin Zhou
OOD
83
45
0
05 Dec 2022
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph
  Alignment
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment
Yuchen Ma
Yanbei Chen
Zeynep Akata
54
8
0
23 Nov 2022
Object-Aware Self-supervised Multi-Label Learning
Object-Aware Self-supervised Multi-Label Learning
Kaixin Xu
Liu Liyang
Ziyuan Zhao
Zeng Zeng
B. Veeravalli
52
3
0
14 May 2022
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation
  with Limited Source Labels
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
Ziyuan Zhao
Kaixin Xu
Shumeng Li
Zeng Zeng
Cuntai Guan
OOD
65
45
0
23 Mar 2022
Semi-supervised Models are Strong Unsupervised Domain Adaptation
  Learners
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
Yabin Zhang
Haojian Zhang
Bin Deng
Shuai Li
Kui Jia
Lei Zhang
67
25
0
01 Jun 2021
Learning Unknown from Correlations: Graph Neural Network for
  Inter-novel-protein Interaction Prediction
Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
Guofeng Lv
Zhiqiang Hu
Yanguang Bi
Shaoting Zhang
42
51
0
14 May 2021
The Emerging Trends of Multi-Label Learning
The Emerging Trends of Multi-Label Learning
Weiwei Liu
Haobo Wang
Xiaobo Shen
Ivor W. Tsang
87
265
0
23 Nov 2020
Multi-Label Classification with Label Graph Superimposing
Multi-Label Classification with Label Graph Superimposing
Ya Wang
Dongliang He
Fu Li
Xiang Long
Zhichao Zhou
Jinwen Ma
Shilei Wen
74
168
0
21 Nov 2019
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation
  in Semantic Segmentation
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation
Jaehoon Choi
Taekyung Kim
Changick Kim
75
243
0
02 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
152
763
0
27 Aug 2019
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
110
1,001
0
07 Apr 2019
Learning from positive and unlabeled data: a survey
Learning from positive and unlabeled data: a survey
Jessa Bekker
Jesse Davis
78
560
0
12 Nov 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
243
7,653
0
01 Oct 2018
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,560
0
07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
644
29,076
0
09 Sep 2016
CNN-RNN: A Unified Framework for Multi-label Image Classification
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang
Yi Yang
Junhua Mao
Zhiheng Huang
Chang Huang
Wenyuan Xu
SSL
90
1,163
0
15 Apr 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE3DV
73
1,362
0
21 Mar 2016
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