图自监督学习和预训练论文推荐

Self-supervised Learning and Pre-training：研究图的自监督学习和预训练。预训练在NLP任务中大放光采，研究者希望此类技术在图上也能够进行预训练，并期望更好地辅助下游的任务。经典的自监督学习方法如对比学习等。

1.论文名称：Strategies for Pre-training Graph Neural Networks
链接：https://www.aminer.cn/pub/5e5e18eb93d709897ce3ce41
2.论文名称：CommDGI: Community Detection Oriented Deep Graph Infomax
链接：https://www.aminer.cn/pub/5f8ebbb99fced0a24b4e1994
3.论文名称：Inductive Representation Learning on Large Graphs.
链接：https://www.aminer.cn/pub/599c7988601a182cd2648a09
4.论文名称：InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
链接：https://www.aminer.cn/pub/5e5e189a93d709897ce1e760
5.论文名称：GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
链接：https://www.aminer.cn/pub/5eede0b091e0116a23aafbd3
6.论文名称：Contrastive Multi-View Representation Learning on Graphs
链接：https://www.aminer.cn/pub/5ede0553e06a4c1b26a8419c
7.论文名称：Graph Contrastive Learning with Augmentations
链接：https://www.aminer.cn/pub/5f7fdd328de39f0828397ec3

8.论文名称：GPT-GNN: Generative Pre-Training of Graph Neural Networks
链接：https://www.aminer.cn/pub/5efb0d5691e011063336d354
9.论文名称：When Does Self-Supervision Help Graph Convolutional Networks?
链接：https://www.aminer.cn/pub/5ede0553e06a4c1b26a83ebf
10.论文名称：Deep Graph Contrastive Representation Learning
链接：https://www.aminer.cn/pub/5edf5dd891e011bc656ded5a
11.论文名称：Graph Contrastive Learning Automated
链接：https://www.aminer.cn/pub/60bdde338585e32c38af4f97
12.论文名称：Graph Contrastive Learning with Adaptive Augmentation
链接：https://www.aminer.cn/pub/5f9a9af391e0114d7e7813ed
13.论文名称：Self-supervised Graph-level Representation Learning with Local and Global Structure
链接：https://www.aminer.cn/pub/60bdde338585e32c38af4ee9
14.论文名称：GraphCL: Contrastive Self-Supervised Learning of Graph Representations
链接：https://www.aminer.cn/pub/5f116df591e011264d4475cd
15.论文名称：Learning to Pre-train Graph Neural Networks
链接：https://www.aminer.cn/pub/5fe4094e9e795e14f30e634a
16.论文名称：Graph Representation Learning via Graphical Mutual Information Maximization
链接：https://www.aminer.cn/pub/5e3a92413a55ac054d0cdbf7
17.论文名称：Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning
链接：https://www.aminer.cn/pub/612eef565244ab9dcbe12a23
18.论文名称：Self-Supervised Graph Representation Learning via Global Context Prediction
链接：https://www.aminer.cn/pub/5e5f7c4791e011df604eccfd
19.论文名称：CSGNN - Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction.
链接：https://www.aminer.cn/pub/60da8fc20abde95dc965f885
20.论文名称Pairwise Half-graph Discrimination - A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks.：
链接：https://www.aminer.cn/pub/60da8fc20abde95dc965f72d
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