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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

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