Surveys / Literature Reviews / Books 2023 State of the Art and Potentialities of Graph-level Learning A Comprehensive Survey on Deep Graph Representation Learning Attention-based graph neural networks: a survey A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions A survey of graph neural networks in various learning paradigms: methods, applications, and challenges Graph Neural Networks in IoT: A Survey A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities Counterfactual Learning on Graphs: A Survey A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects A Survey on Hyperlink Prediction 2022 Graph Neural Networks Foundations, Frontiers, and Applications (Book) Hyperbolic Graph Neural Networks: A Review of Methods and Applications Graph Neural Networks for Graphs with Heterophily: A Survey Graph Data Augmentation for Graph Machine Learning: A Survey 2021 Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities Self-Supervised Learning of Graph Neural Networks: A Unified Review Combinatorial optimization and reasoning with graph neural networks Hyperbolic Deep Neural Networks: A Survey Survey on graph embeddings and their applications to machine learning problems on graphs A Comprehensive Survey on Graph Neural Networks 2020 Explainability in Graph Neural Networks: A Taxonomic Survey Utilising Graph Machine Learning within Drug Discovery and Development Graph Representation Learning (Book) Deep Learning on Graphs (Book) Machine Learning on Graphs: A Model and Comprehensive Taxonomy Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey Deep Learning on Graphs: A Survey Adversarial Attack and Defense on Graph Data: A Survey 2019 Graph convolutional networks: a comprehensive review Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview Learning Representations of Graph Data -- A Survey 2018 Relational inductive biases, deep learning, and graph networks Graph Neural Networks: A Review of Methods and Applications 2017 Representation Learning on Graphs: Methods and Applications Geometric Deep Learning: Going beyond Euclidean data