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Cell-ontology guided transcriptome foundation model
v1v2 (latest)

Cell-ontology guided transcriptome foundation model

22 August 2024
Xinyu Yuan
Zhihao Zhan
Zuobai Zhang
Manqi Zhou
Jianan Zhao
Boyu Han
Yue Li
Jian Tang
ArXiv (abs)PDFHTML

Papers citing "Cell-ontology guided transcriptome foundation model"

19 / 19 papers shown
Title
The cell as a token: high-dimensional geometry in language models and cell embeddings
The cell as a token: high-dimensional geometry in language models and cell embeddings
William Gilpin
119
0
0
26 Mar 2025
Generalized Neural Collapse for a Large Number of Classes
Generalized Neural Collapse for a Large Number of Classes
Jiachen Jiang
Jinxin Zhou
Peng Wang
Qing Qu
Dustin Mixon
Chong You
Zhihui Zhu
AI4CE
73
28
0
09 Oct 2023
scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis
  in Brain
scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain
Gyutaek Oh
B. Choi
Inkyung Jung
Jong Chul Ye
53
5
0
04 Oct 2023
A Survey on Oversmoothing in Graph Neural Networks
A Survey on Oversmoothing in Graph Neural Networks
T. Konstantin Rusch
Michael M. Bronstein
Siddhartha Mishra
89
213
0
20 Mar 2023
Hyena Hierarchy: Towards Larger Convolutional Language Models
Hyena Hierarchy: Towards Larger Convolutional Language Models
Michael Poli
Stefano Massaroli
Eric Q. Nguyen
Daniel Y. Fu
Tri Dao
S. Baccus
Yoshua Bengio
Stefano Ermon
Christopher Ré
VLM
119
307
0
21 Feb 2023
A single-cell gene expression language model
A single-cell gene expression language model
Will Connell
Umair W Khan
Michael J. Keiser
39
9
0
25 Oct 2022
Emergent Abilities of Large Language Models
Emergent Abilities of Large Language Models
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
...
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
ELMReLMLRM
286
2,511
0
15 Jun 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised
  Contrastive Learning
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
Mayee F. Chen
Daniel Y. Fu
A. Narayan
Michael Zhang
Zhao Song
Kayvon Fatahalian
Christopher Ré
SSL
62
51
0
15 Apr 2022
A Survey on Graph Representation Learning Methods
A Survey on Graph Representation Learning Methods
Shima Khoshraftar
A. An
GNNAI4TS
83
121
0
04 Apr 2022
GraphFormers: GNN-nested Transformers for Representation Learning on
  Textual Graph
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Junhan Yang
Zheng Liu
Shitao Xiao
Chaozhuo Li
Defu Lian
Sanjay Agrawal
Amit Singh
Guangzhong Sun
Xing Xie
AI4CE
52
159
0
06 May 2021
Dissecting Supervised Contrastive Learning
Dissecting Supervised Contrastive Learning
Florian Graf
Christoph Hofer
Marc Niethammer
Roland Kwitt
SSL
156
74
0
17 Feb 2021
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSLAI4TS
313
712
0
10 Oct 2020
Targeted sampling from massive block model graphs with personalized
  PageRank
Targeted sampling from massive block model graphs with personalized PageRank
Fan Chen
Yini Zhang
Karl Rohe
30
12
0
04 Oct 2019
TabNet: Attentive Interpretable Tabular Learning
TabNet: Attentive Interpretable Tabular Learning
Sercan O. Arik
Tomas Pfister
LMTD
206
1,355
0
20 Aug 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
730
132,363
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
657
29,154
0
09 Sep 2016
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