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Strategies for Pre-training Graph Neural Networks

Strategies for Pre-training Graph Neural Networks

29 May 2019
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
    SSL
    AI4CE
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Papers citing "Strategies for Pre-training Graph Neural Networks"

50 / 300 papers shown
Title
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular
  Property Prediction
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction
Christopher Fifty
Joseph M. Paggi
Ehsan Amid
J. Leskovec
R. Dror
AI4CE
25
0
0
04 Feb 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network
  and Molecule Representations
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations
Jinjiang Guo
Jie Li
27
0
0
02 Feb 2023
Knowledge Distillation on Graphs: A Survey
Knowledge Distillation on Graphs: A Survey
Yijun Tian
Shichao Pei
Xiangliang Zhang
Chuxu Zhang
Nitesh Chawla
26
28
0
01 Feb 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders
  with Masking
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li
Tiandi Ye
Caihua Shan
Dongsheng Li
Ming Gao
SSL
36
30
0
29 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive
  Masking and Trainable Corruption
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption
Chengyu Sun
SSL
34
1
0
28 Jan 2023
Visiting Distant Neighbors in Graph Convolutional Networks
Visiting Distant Neighbors in Graph Convolutional Networks
Ali Hashemi
H. Makse
GNN
24
1
0
26 Jan 2023
CrysGNN : Distilling pre-trained knowledge to enhance property
  prediction for crystalline materials
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials
Kishalay Das
Bidisha Samanta
Pawan Goyal
Seung-Cheol Lee
S. Bhattacharjee
Niloy Ganguly
23
17
0
14 Jan 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular
  Graph Generation
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
Han Huang
Leilei Sun
Bowen Du
Weifeng Lv
54
40
0
01 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs
A Generalization of ViT/MLP-Mixer to Graphs
Xiaoxin He
Bryan Hooi
T. Laurent
Adam Perold
Yann LeCun
Xavier Bresson
47
88
0
27 Dec 2022
Multi-modal Molecule Structure-text Model for Text-based Retrieval and
  Editing
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
Shengchao Liu
Weili Nie
Chengpeng Wang
Jiarui Lu
Zhuoran Qiao
Ling Liu
Jian Tang
Chaowei Xiao
Anima Anandkumar
48
153
0
21 Dec 2022
Data Augmentation on Graphs: A Technical Survey
Data Augmentation on Graphs: A Technical Survey
Jiajun Zhou
Chenxuan Xie
Shengbo Gong
Z. Wen
Xiangyu Zhao
Qi Xuan
Xiaoniu Yang
AI4TS
34
8
0
20 Dec 2022
Mul-GAD: a semi-supervised graph anomaly detection framework via
  aggregating multi-view information
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information
Zhiyuan Liu
Chunjie Cao
Jingzhang Sun
24
9
0
11 Dec 2022
Augmenting Knowledge Transfer across Graphs
Augmenting Knowledge Transfer across Graphs
Yuzhen Mao
Jianhui Sun
Dawei Zhou
38
1
0
09 Dec 2022
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich
  Platform for Graph Learning Benchmarks
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks
Jiaqi Ma
Xingjian Zhang
Hezheng Fan
Jin Huang
Tianyue Li
Tinghong Li
Yiwen Tu
Chen Zhu
Qiaozhu Mei
40
5
0
08 Dec 2022
Self-supervised Graph Representation Learning for Black Market Account
  Detection
Self-supervised Graph Representation Learning for Black Market Account Detection
Zequan Xu
Lianyun Li
Hui Li
Qihang Sun
Shaofeng Hu
Rongrong Ji
21
1
0
06 Dec 2022
Component Segmentation of Engineering Drawings Using Graph Convolutional
  Networks
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
Wentai Zhang
Joe Joseph
Yueyan Yin
Liuyue Xie
T. Furuhata
Soji Yamakawa
Kenji Shimada
L. Kara
38
12
0
01 Dec 2022
Coordinating Cross-modal Distillation for Molecular Property Prediction
Coordinating Cross-modal Distillation for Molecular Property Prediction
Hao Zhang
N. Zhang
Ruixin Zhang
Lei Shen
Yingyi Zhang
Meng Liu
28
1
0
30 Nov 2022
Capturing long-range interaction with reciprocal space neural network
Capturing long-range interaction with reciprocal space neural network
Hongyu Yu
Liangliang Hong
Shiyou Chen
X. Gong
Hongjun Xiang
34
11
0
30 Nov 2022
BARTSmiles: Generative Masked Language Models for Molecular
  Representations
BARTSmiles: Generative Masked Language Models for Molecular Representations
Gayane Chilingaryan
Hovhannes Tamoyan
Ani Tevosyan
N. Babayan
L. Khondkaryan
Karen Hambardzumyan
Zaven Navoyan
Hrant Khachatrian
Armen Aghajanyan
SSL
40
25
0
29 Nov 2022
Supervised Pretraining for Molecular Force Fields and Properties
  Prediction
Supervised Pretraining for Molecular Force Fields and Properties Prediction
Xiang Gao
Weihao Gao
Wen Xiao
Zhirui Wang
Chong Wang
Liang Xiang
AI4CE
36
8
0
23 Nov 2022
Deep learning methods for drug response prediction in cancer:
  predominant and emerging trends
Deep learning methods for drug response prediction in cancer: predominant and emerging trends
A. Partin
Thomas Brettin
Yitan Zhu
Oleksandr Narykov
Austin R. Clyde
Jamie Overbeek
Department of Materials Science
29
54
0
18 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao
Qianlong Wen
Mingxuan Ju
Chuxu Zhang
Yanfang Ye
45
20
0
12 Nov 2022
Flaky Performances when Pretraining on Relational Databases
Flaky Performances when Pretraining on Relational Databases
Shengchao Liu
David Vazquez
Jian Tang
Pierre-Andre Noel
34
2
0
09 Nov 2022
Reducing Down(stream)time: Pretraining Molecular GNNs using
  Heterogeneous AI Accelerators
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators
Jenna A. Bilbrey
Kristina M Herman
Henry W Sprueill
Soritis S. Xantheas
Payel Das
Manuel Lopez Roldan
Mike Kraus
Hatem Helal
Sutanay Choudhury
AI4CE
21
4
0
08 Nov 2022
MolE: a molecular foundation model for drug discovery
MolE: a molecular foundation model for drug discovery
Oscar Méndez-Lucio
C. Nicolaou
Berton Earnshaw
17
11
0
03 Nov 2022
A 3D-Shape Similarity-based Contrastive Approach to Molecular
  Representation Learning
A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning
Austin O. Atsango
N. Diamant
Ziqing Lu
Tommaso Biancalani
Gabriele Scalia
Kangway V Chuang
35
2
0
03 Nov 2022
Boosting the Cycle Counting Power of Graph Neural Networks with
  I$^2$-GNNs
Boosting the Cycle Counting Power of Graph Neural Networks with I2^22-GNNs
Yinan Huang
Xingang Peng
Jianzhu Ma
Muhan Zhang
84
46
0
22 Oct 2022
Privacy-Preserved Neural Graph Similarity Learning
Privacy-Preserved Neural Graph Similarity Learning
Yupeng Hou
Wayne Xin Zhao
Yaliang Li
Ji-Rong Wen
38
1
0
21 Oct 2022
PEMP: Leveraging Physics Properties to Enhance Molecular Property
  Prediction
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction
Yuancheng Sun
Yimeng Chen
Weizhi Ma
Wenhao Huang
Kang Liu
Zhiming Ma
Wei-Ying Ma
Yanyan Lan
31
7
0
18 Oct 2022
Injecting Domain Knowledge from Empirical Interatomic Potentials to
  Neural Networks for Predicting Material Properties
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
Zeren Shui
Daniel S. Karls
Mingjian Wen
Ilia Nikiforov
E. Tadmor
George Karypis
46
7
0
14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and
  Rethinking
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
Keyu Duan
Zirui Liu
Peihao Wang
Wenqing Zheng
Kaixiong Zhou
Tianlong Chen
Xia Hu
Zhangyang Wang
GNN
43
57
0
14 Oct 2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
Zhichun Guo
Chunhui Zhang
Yujie Fan
Yijun Tian
Chuxu Zhang
Nitesh Chawla
26
32
0
12 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and
  Generative
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
Tianxin Wei
Yuning You
Tianlong Chen
Yang Shen
Jingrui He
Zhangyang Wang
41
45
0
07 Oct 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph
  Spectrum
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
Nian Liu
Xiao Wang
Deyu Bo
Chuan Shi
Jian Pei
25
62
0
05 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge
  Distillation
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation
Lirong Wu
Yufei Huang
Haitao Lin
Zicheng Liu
Tianyu Fan
Stan Z. Li
SSL
61
5
0
05 Oct 2022
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
Kyriakos Schwarz
A. Pliego-Mendieta
Amina Mollaysa
Lara Planas-Paz
C. Pauli
Ahmed Allam
Michael Krauthammer
GNN
34
2
0
03 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs
Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin
Jinghui Chen
Hongning Wang
OOD
42
49
0
02 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han
Tong Zhao
Yozen Liu
Xia Hu
Neil Shah
GNN
63
36
0
30 Sep 2022
Universal Prompt Tuning for Graph Neural Networks
Universal Prompt Tuning for Graph Neural Networks
Taoran Fang
Yunchao Zhang
Yang Yang
Chunping Wang
Lei Chen
36
50
0
30 Sep 2022
LogGD:Detecting Anomalies from System Logs by Graph Neural Networks
LogGD:Detecting Anomalies from System Logs by Graph Neural Networks
Yongzhen Xie
Hongyu Zhang
M. Babar
AI4TS
23
20
0
16 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction
Graph Contrastive Learning with Cross-view Reconstruction
Qianlong Wen
Z. Ouyang
Chunhui Zhang
Y. Qian
Yanfang Ye
Chuxu Zhang
SSL
27
6
0
16 Sep 2022
A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Fuchun Sun
Dazhao Du
Zhao-Qing Yang
Yujie Zhou
Jiangmeng Li
Anyi Rao
Haoran Sun
Zhiwu Lu
Ji-Rong Wen
58
108
0
12 Sep 2022
ChemBERTa-2: Towards Chemical Foundation Models
ChemBERTa-2: Towards Chemical Foundation Models
Walid Ahmad
Elana Simon
Seyone Chithrananda
Gabriel Grand
Bharath Ramsundar
AI4CE
28
129
0
05 Sep 2022
LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph
  Construction
LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction
Hongcheng Guo
Yu Guo
Renjie Chen
Jian Yang
Jiaheng Liu
Zhoujun Li
Tieqiao Zheng
Weichao Hou
Liangfan Zheng
Bo Zhang
26
14
0
23 Aug 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs
MentorGNN: Deriving Curriculum for Pre-Training GNNs
Dawei Zhou
Lecheng Zheng
Dongqi Fu
Jiawei Han
Jingrui He
33
22
0
21 Aug 2022
Graph Neural Network Based Node Deployment for Throughput Enhancement
Graph Neural Network Based Node Deployment for Throughput Enhancement
Yifei Yang
Dongmian Zou
Xiaofan He
21
5
0
19 Aug 2022
GraphTTA: Test Time Adaptation on Graph Neural Networks
GraphTTA: Test Time Adaptation on Graph Neural Networks
Guan-Wun Chen
Jiying Zhang
Xi Xiao
Yong Li
OOD
38
10
0
19 Aug 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning
Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi
Ekdeep Singh Lubana
Mark Heimann
Danai Koutra
Jayaraman J. Thiagarajan
30
11
0
04 Aug 2022
Unsupervised pre-training of graph transformers on patient population
  graphs
Unsupervised pre-training of graph transformers on patient population graphs
Chantal Pellegrini
Nassir Navab
Anees Kazi
MedIm
AI4CE
46
11
0
21 Jul 2022
SVGraph: Learning Semantic Graphs from Instructional Videos
SVGraph: Learning Semantic Graphs from Instructional Videos
Madeline Chantry Schiappa
Yogesh S Rawat
17
4
0
16 Jul 2022
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