本文主要是介绍21篇图相关综述大集合，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
文 · 成森 封面 · pixabay
图相关论文综述
整理了最近几年的图相关论文综述，包括图神经网络、图与推荐系统、知识图谱、图深度学习、图表征学习、图加速。
下面列表按时间排序。
2020
Introduction to graph neural networks
(2020) Liu Z, Zhou J.Graph Learning Approaches to Recommender Systems: A Review
(2020) Wang S, Hu L, et al.Deep Learning on Graphs: A Survey
(2020) Zhang Z, Cui P, et al.Adversarial Attack and Defense on Graph Data: A Survey
(2020) Sun L, Dou Y, et al.A Survey on Knowledge Graph-Based Recommender Systems
(2020) Guo Q, Zhuang F, et al.A Comprehensive Survey on Graph Neural Networks
(2020) Wu Z, Pan S, et al.
2018 - 2019
Graph Neural Networks: A Review of Methods and Applications
(2019) Zhou J, Cui G, et al.Graph Kernels: A Survey
(2019) Nikolentzos G, Siglidis G, et al.A Survey on Graph Processing Accelerators: Challenges and Opportunities
(2019) Gui C, Zheng L, et al.Representation Learning on Graphs: Methods and Applications
(2018) Hamilton WL, Ying R, et al.Relational inductive biases, deep learning, and graph networks
(2018) Battaglia PW, Hamrick JB, et al.Network Representation Learning: A Survey
(2018) Zhang D, Yin J, et al.Graph Embedding Techniques, Applications, and Performance: A Survey
(2018) Goyal P, Ferrara E.Attention Models in Graphs: A Survey
(2018) Lee JB, Rossi RA, et al.A Tutorial on Network Embeddings
(2018) Chen H, Perozzi B, et al.A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
(2018) Cai H, Zheng VW, et al.
2016 - 2017
Network representation learning: an overview
(2017) Yang C, Liu Z, et al.Knowledge Graph Embedding: A Survey of Approaches and Applications
(2017) Wang Q, Mao Z, et al.Geometric deep learning: going beyond Euclidean data
(2017) Bronstein MM, Bruna J, et al.A Survey on Network Embedding
(2017) Cui P, Wang X, et al.Knowledge graph refinement: A survey of approaches and evaluation methods
(2016) Paulheim H.
GitHub 长期维护：link.chengsen.ren/papers
请长按或扫描二维码关注本公众号
这篇关于21篇图相关综述大集合的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
