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Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker
  Identification with PathFormer

Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer

11 February 2024
Zehao Dong
Qihang Zhao
Philip R. O. Payne
Michael Province
C. Cruchaga
Muhan Zhang
Tianyu Zhao
Yixin Chen
Fuhai Li
    AI4CE
ArXivPDFHTML

Papers citing "Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer"

15 / 15 papers shown
Title
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
Zehao Dong
Weidong Cao
Muhan Zhang
Dacheng Tao
Yixin Chen
Xuan Zhang
GNN
53
35
0
31 Aug 2023
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
Zehao Dong
Muhan Zhang
Fuhai Li
Yixin Chen
CML
GNN
56
17
0
19 Mar 2022
Nested Graph Neural Networks
Nested Graph Neural Networks
Muhan Zhang
Pan Li
64
166
0
25 Oct 2021
GraphiT: Encoding Graph Structure in Transformers
GraphiT: Encoding Graph Structure in Transformers
Grégoire Mialon
Dexiong Chen
Margot Selosse
Julien Mairal
76
167
0
10 Jun 2021
Rethinking Graph Transformers with Spectral Attention
Rethinking Graph Transformers with Spectral Attention
Devin Kreuzer
Dominique Beaini
William L. Hamilton
Vincent Létourneau
Prudencio Tossou
67
525
0
07 Jun 2021
The Logic of Graph Neural Networks
The Logic of Graph Neural Networks
Martin Grohe
AI4CE
32
89
0
29 Apr 2021
On the Bottleneck of Graph Neural Networks and its Practical
  Implications
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon
Eran Yahav
GNN
77
680
0
09 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
202
2,701
0
02 May 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
297
931
0
02 Mar 2020
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
140
3,714
0
09 Jan 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
136
1,625
0
04 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
173
7,554
0
01 Oct 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
319
19,991
0
30 Oct 2017
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
94
1,253
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
447
28,901
0
09 Sep 2016
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