Strategies for Pre-training Graph Neural Networks

29 May 2019

Papers citing "Strategies for Pre-training Graph Neural Networks"

50 / 300 papers shown

Title
Unified 2D and 3D Pre-Training of Molecular Representations Jinhua Zhu Yingce Xia Lijun Wu Shufang Xie Tao Qin Wen-gang Zhou Houqiang Li Tie-Yan Liu AI4CE 62 67 0 14 Jul 2022
Does GNN Pretraining Help Molecular Representation? Ruoxi Sun Hanjun Dai Adams Wei Yu SSL AI4CE GNN 6 71 0 13 Jul 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 53 1 0 12 Jul 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving Prarthana Bhattacharyya Chengjie Huang Krzysztof Czarnecki SSL 42 55 0 28 Jun 2022
Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids Jan G. Rittig Karim Ben Hicham Artur M. Schweidtmann Manuel Dahmen Alexander Mitsos 8 42 0 23 Jun 2022
Self-Supervised Learning for Videos: A Survey Madeline Chantry Schiappa Yogesh S Rawat M. Shah SSL 38 131 0 18 Jun 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 42 272 0 17 Jun 2022
Long Range Graph Benchmark Vijay Prakash Dwivedi Ladislav Rampášek Mikhail Galkin Alipanah Parviz Guy Wolf A. Luu Dominique Beaini 26 197 0 16 Jun 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby Qi Liu 35 20 0 16 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 27 94 0 16 Jun 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 41 5 0 08 Jun 2022
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding Minghao Xu Zuobai Zhang Jiarui Lu Zhaocheng Zhu Yang Zhang Chang Ma Runcheng Liu Jian Tang 16 98 0 05 Jun 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi A. Luu Guy Wolf Dominique Beaini 78 522 0 25 May 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction Kuangqi Zhou Kaixin Wang Jiashi Feng Jian Tang Tingyang Xu Xinchao Wang 29 1 0 23 May 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang C. Wang Jie Tang SSL 52 549 0 22 May 2022
Attention-wise masked graph contrastive learning for predicting molecular property Hui Liu Yibiao Huang Xuejun Liu L. Deng 25 33 0 02 May 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference Rishov Sarkar Stefan Abi-Karam Yuqiang He Lakshmi Sathidevi Cong Hao AI4CE GNN 37 29 0 27 Apr 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 34 11 0 29 Mar 2022
LinkBERT: Pretraining Language Models with Document Links Michihiro Yasunaga J. Leskovec Percy Liang KELM 29 353 0 29 Mar 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 44 179 0 28 Mar 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design Yuanqi Du Tianfan Fu Jimeng Sun Shengchao Liu AI4CE 43 86 0 28 Mar 2022
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices Dixian Zhu Xiaodong Wu Tianbao Yang 35 10 0 27 Mar 2022
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport Jiying Zhang Xi Xiao Long-Kai Huang Yu Rong Yatao Bian OT 24 32 0 20 Mar 2022
Graph Pre-training for AMR Parsing and Generation Xuefeng Bai Yulong Chen Yue Zhang SSL 52 99 0 15 Mar 2022
G $^3$ SR: Global Graph Guided Session-based Recommendation Zhiwei Deng Changdong Wang Ling Huang Jianhuang Lai Philip S. Yu 19 13 0 12 Mar 2022
Neural Graph Matching for Pre-training Graph Neural Networks Yupeng Hou Binbin Hu Wayne Xin Zhao Qing Cui Jun Zhou Jianzhong Wen 20 8 0 03 Mar 2022
CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer Xianbin Ye Ziliang Li Fei Ma Z. Yi Pengyong Li Jun Wang Peng Gao Yixuan Qiao Guotong Xie 35 1 0 02 Mar 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 49 142 0 25 Feb 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Xingliang Yuan Chuan Zhou Shirui Pan AAML 47 23 0 25 Feb 2022
Exploring Edge Disentanglement for Node Classification Tianxiang Zhao Xiang Zhang Suhang Wang 40 35 0 23 Feb 2022
Structured Multi-task Learning for Molecular Property Prediction Shengchao Liu Meng Qu Zuobai Zhang Huiyu Cai Jian Tang 23 24 0 22 Feb 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast Yuyang Wang Rishikesh Magar Chen Liang A. Farimani 51 78 0 18 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 46 55 0 18 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 35 12 0 17 Feb 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 51 25 0 16 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 30 41 0 16 Feb 2022
ChemicalX: A Deep Learning Library for Drug Pair Scoring Benedek Rozemberczki Charles Tapley Hoyt A. Gogleva Piotr Grabowski Klas Karis ... Sebastian Nilsson M. Ughetto Yu-Chiang Frank Wang Tyler Derr Benjamin M. Gyori 23 25 0 10 Feb 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation Jun Xia Lirong Wu Jintao Chen Bozhen Hu Stan Z. Li 24 280 0 07 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten M. Borgwardt 36 237 0 07 Feb 2022
Investigating Transfer Learning in Graph Neural Networks Nishai Kooverjee Steven D. James Terence L van Zyl GNN 38 15 0 01 Feb 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 26 0 0 30 Jan 2022
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs Zhe Lin Zike Yuan Jieru Zhao Wei Zhang Hui Wang Yonghong Tian 14 19 0 25 Jan 2022
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling Andrew Stolman Caleb C. Levy C. Seshadhri Aneesh Sharma GNN 8 11 0 20 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 22 31 0 20 Jan 2022
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring T. Nguyen Thin Nguyen T. Tran 25 14 0 16 Jan 2022
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery Xiaoqi Wang Yingjie Cheng Yaning Yang Yue Yu Fei Li Shaoliang Peng 23 41 0 12 Jan 2022
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Gang Hua Changwen Zheng 23 11 0 11 Jan 2022
Cross-view Self-Supervised Learning on Heterogeneous Graph Neural Network via Bootstrapping M. Park SSL 21 4 0 10 Jan 2022
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 24 60 0 15 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 28 23 0 14 Dec 2021