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2207.06010
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Does GNN Pretraining Help Molecular Representation?
13 July 2022
Ruoxi Sun
Hanjun Dai
Adams Wei Yu
SSL
AI4CE
GNN
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Papers citing
"Does GNN Pretraining Help Molecular Representation?"
26 / 26 papers shown
Title
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang
Yadi Cao
Chris Russell
Yanxin Shen
Junyu Luo
Ming Zhang
Siyu Heng
Zhiyuan Ning
66
1
0
13 Sep 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
Zhaoning Yu
Hongyang Gao
77
3
0
21 May 2024
Pure Transformers are Powerful Graph Learners
Jinwoo Kim
Tien Dat Nguyen
Seonwoo Min
Sungjun Cho
Moontae Lee
Honglak Lee
Seunghoon Hong
79
200
0
06 Jul 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
Jun Xia
Lirong Wu
Jintao Chen
Bozhen Hu
Stan Z. Li
50
291
0
07 Feb 2022
Structure-Aware Transformer for Graph Representation Learning
Dexiong Chen
Leslie O’Bray
Karsten Borgwardt
73
250
0
07 Feb 2022
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
164
316
0
07 Oct 2021
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
122
3,742
0
03 Sep 2021
Do Transformers Really Perform Bad for Graph Representation?
Chengxuan Ying
Tianle Cai
Shengjie Luo
Shuxin Zheng
Guolin Ke
Di He
Yanming Shen
Tie-Yan Liu
GNN
90
441
0
09 Jun 2021
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph
Mengying Sun
Jing Xing
Huijun Wang
Bin Chen
Jiayu Zhou
110
118
0
05 Jun 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie
Zhao Xu
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
SSL
76
333
0
22 Feb 2021
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
81
1,107
0
27 Oct 2020
Towards Deeper Graph Neural Networks
Meng Liu
Hongyang Gao
Shuiwang Ji
GNN
AI4CE
95
605
0
18 Jul 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Kai-Wei Chang
Yizhou Sun
SSL
AI4CE
150
561
0
27 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
219
1,301
0
10 Jun 2020
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
721
41,894
0
28 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
345
18,739
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
185
12,073
0
13 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
399
20,114
0
23 Oct 2019
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
Guangyong Chen
Pengfei Chen
Chang-Yu Hsieh
Chee-Kong Lee
B. Liao
...
J. Qiu
Qiming Sun
Jie Tang
R. Zemel
Shengyu Zhang
52
76
0
22 Jun 2019
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSL
AI4CE
108
1,401
0
29 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,729
0
11 Oct 2018
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
232
7,638
0
01 Oct 2018
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
454
20,124
0
30 Oct 2017
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
169
1,976
0
17 Sep 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
811
11,894
0
09 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
326
1,826
0
02 Mar 2017
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