mlsanityData to 7 Oct 2026

A Survey on Graph Classification and Link Prediction based on GNN

arXiv 2307.00865 ↗First posted 3 Jul 2023cs.LGcited by 8

Not on the map. Why?

Abstract (arXiv)

Traditional convolutional neural networks are limited to handling Euclidean space data, overlooking the vast realm of real-life scenarios represented as graph data, including transportation networks, social networks, and reference networks. The pivotal step in transferring convolutional neural networks to graph data analysis and processing lies in the construction of graph convolutional operators and graph pooling operators. This comprehensive review article delves into the world of graph convolutional neural networks. Firstly, it elaborates on the fundamentals of graph convolutional neural networks. Subsequently, it elucidates the graph neural network models based on attention mechanisms and autoencoders, summarizing their application in node classification, graph classification, and link prediction along with the associated datasets.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 28 of its 49 references that are in the map. First posted on arXiv 3 Jul 2023.

Builds on

28 of 49 references.

References · 28

  1. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  2. 2017Graph Attention Networkscited by 8,854
  3. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,530
  4. 2018How Powerful are Graph Neural Networks?cited by 4,355
  5. 2014DeepWalk: Online Learning of Social Representationscited by 1,543
  6. 2016Variational Graph Auto-Encoderscited by 1,373
  7. 2018Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognitioncited by 1,199
  8. 2016Revisiting Semi-Supervised Learning with Graph Embeddingscited by 970
  9. 2018Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networkscited by 687
  10. 2013DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognitioncited by 422
  11. 2015Recent Advances in Convolutional Neural Networkscited by 360
  12. 2017Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Rankingcited by 332
16 more
  1. 2020Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Predictioncited by 324
  2. 2016Learning Convolutional Neural Networks for Graphscited by 314
  3. 2015Diffusion-Convolutional Neural Networkscited by 268
  4. 2018Learning Human-Object Interactions by Graph Parsing Neural Networkscited by 176
  5. 2019Understanding Attention and Generalization in Graph Neural Networkscited by 169
  6. 2018GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphscited by 164
  7. 2021GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networkscited by 147
  8. 2019Graph Wavelet Neural Networkcited by 131
  9. 2018Large-Scale Learnable Graph Convolutional Networkscited by 113
  10. 2019Peeking into the Future: Predicting Future Person Activities and Locations in Videoscited by 112
  11. 2018Learning Tree-based Deep Model for Recommender Systemscited by 99
  12. 2019Conditional Generative Neural System for Probabilistic Trajectory Predictioncited by 76
  13. 2019Hyper-SAGNN: a self-attention based graph neural network for hypergraphscited by 69
  14. 2019Universal Graph Transformer Self-Attention Networkscited by 41
  15. 2020Spectral Graph Attention Network with Fast Eigen-approximationcited by 18
  16. 2019Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservationcited by 17

Built on by

Cited by year

Citing papers per year: 2024: 2; 2025: 6.

8 papers.

  1. 2025Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Modelscited by 7
  2. 2025Graph Data Selection for Domain Adaptation: A Model-Free Approachcited by 7
  3. 2024PROXI: Challenging the GNNs for Link Predictioncited by 1
  4. 2024Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNscited by 0
  5. 2025Physics-Informed Graph Neural Networks for Transverse Momentum Estimation in CMS Trigger Systemscited by 0
  6. 2025JANUS: A Dual-Constraint Generative Framework for Stealthy Node Injection Attackscited by 0
  7. 2025IVGAE-TAMA-BO: A novel temporal dynamic variational graph model for link prediction in global food trade networks with momentum structural memory and Bayesian optimizationcited by 0
  8. 2025Frequent subgraph-based persistent homology for graph classificationcited by 0