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Predicting multicellular function through multi-layer tissue networks

Predicting multicellular function through multi-layer tissue networks

14 July 2017
Marinka Zitnik
J. Leskovec
ArXivPDFHTML

Papers citing "Predicting multicellular function through multi-layer tissue networks"

41 / 91 papers shown
Title
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie
Zhao Xu
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
SSL
41
326
0
22 Feb 2021
Link Prediction with Persistent Homology: An Interactive View
Link Prediction with Persistent Homology: An Interactive View
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
22
46
0
20 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping
Large-Scale Representation Learning on Graphs via Bootstrapping
S. Thakoor
Corentin Tallec
M. G. Azar
Mehdi Azabou
Eva L. Dyer
Rémi Munos
Petar Velivcković
Michal Valko
SSL
29
218
0
12 Feb 2021
Design Space for Graph Neural Networks
Design Space for Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
GNN
AI4CE
33
315
0
17 Nov 2020
Learned Low Precision Graph Neural Networks
Learned Low Precision Graph Neural Networks
Yiren Zhao
Duo Wang
Daniel Bates
Robert D. Mullins
M. Jamnik
Pietro Lio
GNN
39
34
0
19 Sep 2020
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
30
47
0
08 Sep 2020
Hierarchical Protein Function Prediction with Tail-GNNs
Hierarchical Protein Function Prediction with Tail-GNNs
Stefan Spalević
Petar Velivcković
Jovana Kovavcević
Mladen Nikolic
AI4CE
15
5
0
24 Jul 2020
Inductive Link Prediction for Nodes Having Only Attribute Information
Inductive Link Prediction for Nodes Having Only Attribute Information
Yu Hao
Xin Cao
Yixiang Fang
Xike Xie
Sibo Wang
22
76
0
16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
H. Hafidi
Mounir Ghogho
P. Ciblat
A. Swami
SSL
28
53
0
15 Jul 2020
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
42
161
0
14 Jun 2020
Propositionalization and Embeddings: Two Sides of the Same Coin
Propositionalization and Embeddings: Two Sides of the Same Coin
Nada Lavrac
Blaž Škrlj
Marko Robnik-Šikonja
21
26
0
08 Jun 2020
Understanding the Message Passing in Graph Neural Networks via Power
  Iteration Clustering
Understanding the Message Passing in Graph Neural Networks via Power Iteration Clustering
Xue Li
Yuanzhi Cheng
GNN
23
9
0
30 May 2020
SIGN: Scalable Inception Graph Neural Networks
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca
Emanuele Rossi
D. Eynard
B. Chamberlain
M. Bronstein
Federico Monti
GNN
30
393
0
23 Apr 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural
  Networks
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks
M. Balcilar
G. Renton
Pierre Héroux
Benoit Gaüzère
Sébastien Adam
P. Honeine
21
60
0
26 Mar 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
166
226
0
23 Mar 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive
  Connection
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
Xiaoya Li
Yuxian Meng
Mingxin Zhou
Qinghong Han
Fei Wu
Jiwei Li
27
20
0
22 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs
Probabilistic Dual Network Architecture Search on Graphs
Yiren Zhao
Duo Wang
Xitong Gao
Robert D. Mullins
Pietro Lio
M. Jamnik
GNN
AI4CE
51
27
0
21 Mar 2020
Link Prediction using Graph Neural Networks for Master Data Management
Link Prediction using Graph Neural Networks for Master Data Management
Balaji Ganesan
Srinivas Parkala
Neeraj R Singh
Sumit Bhatia
Gayatri Mishra
Matheen Ahmed Pasha
Hima Patel
Somashekar Naganna
AI4CE
35
11
0
07 Mar 2020
Self-Supervised Graph Representation Learning via Global Context
  Prediction
Self-Supervised Graph Representation Learning via Global Context Prediction
Zhen Peng
Yixiang Dong
Minnan Luo
Xiao-Ming Wu
Q. Zheng
SSL
24
64
0
03 Mar 2020
Graph Representation Learning via Graphical Mutual Information
  Maximization
Graph Representation Learning via Graphical Mutual Information Maximization
Zhen Peng
Wenbing Huang
Minnan Luo
Q. Zheng
Yu Rong
Tingyang Xu
Junzhou Huang
SSL
54
568
0
04 Feb 2020
Meta-Graph: Few Shot Link Prediction via Meta Learning
Meta-Graph: Few Shot Link Prediction via Meta Learning
A. Bose
Ankit Jain
Piero Molino
William L. Hamilton
30
63
0
20 Dec 2019
Improving Graph Attention Networks with Large Margin-based Constraints
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang
Rex Ying
Jing-ling Huang
J. Leskovec
22
80
0
25 Oct 2019
Edge Dithering for Robust Adaptive Graph Convolutional Networks
Edge Dithering for Robust Adaptive Graph Convolutional Networks
V. Ioannidis
G. Giannakis
AAML
27
8
0
21 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPC
GNN
37
168
0
15 Oct 2019
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural
  Networks
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks
Takanori Maehara
Hoang NT
27
29
0
09 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural
  Graph Representations
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Balasubramaniam Srinivasan
Bruno Ribeiro
19
27
0
01 Oct 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural
  Networks from the Topological View
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
30
1,081
0
07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou
Qingquan Song
Xiao Huang
Xia Hu
GNN
61
178
0
07 Sep 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
Marc Brockschmidt
28
134
0
28 Jun 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and
  Evaluations
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue
Zhen Wang
Jingong Huang
Srinivasan Parthasarathy
Soheil Moosavinasab
Yungui Huang
S. Lin
Wen Zhang
Ping Zhang
Huan Sun
GNN
21
325
0
12 Jun 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
30
490
0
11 Jun 2019
Graph Normalizing Flows
Graph Normalizing Flows
Jenny Liu
Aviral Kumar
Jimmy Ba
J. Kiros
Kevin Swersky
BDL
GNN
AI4CE
27
155
0
30 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Hoang NT
Takanori Maehara
GNN
33
420
0
23 May 2019
Graph U-Nets
Graph U-Nets
Hongyang Gao
Shuiwang Ji
AI4CE
SSL
SSeg
GNN
39
1,066
0
11 May 2019
Deep learning in bioinformatics: introduction, application, and
  perspective in big data era
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
29
295
0
28 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
167
8,393
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
40
5,416
0
20 Dec 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for
  Variable-Size Inputs
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Yun Liang
21
188
0
05 Nov 2018
Large-Scale Learnable Graph Convolutional Networks
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
GNN
33
588
0
12 Aug 2018
Feature Propagation on Graph: A New Perspective to Graph Representation
  Learning
Feature Propagation on Graph: A New Perspective to Graph Representation Learning
B. Xiang
Ziqi Liu
Jun Zhou
Xiaolong Li
3DV
GNN
40
7
0
17 Apr 2018
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
58
1,967
0
17 Sep 2017
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