Graph Neural Networks

  1. Evaluation and Benchmarking
    1. Evaluation Metrics
      1. Classification Metrics
        1. Accuracy
          1. Precision and Recall
            1. F1-Score
              1. Macro and Micro Averaging
                1. Area Under Curve (AUC)
                2. Regression Metrics
                  1. Mean Absolute Error
                    1. Root Mean Square Error
                      1. R-squared
                        1. Mean Absolute Percentage Error
                        2. Ranking Metrics
                          1. Precision at K
                            1. Recall at K
                              1. Normalized Discounted Cumulative Gain
                                1. Mean Reciprocal Rank
                              2. Experimental Design
                                1. Data Splitting Strategies
                                  1. Random Splits
                                    1. Temporal Splits
                                      1. Structural Splits
                                      2. Cross-validation
                                        1. K-fold Cross-validation
                                          1. Leave-one-out
                                            1. Stratified Sampling
                                            2. Statistical Significance Testing
                                              1. Paired t-tests
                                                1. Wilcoxon Signed-rank Test
                                                  1. Multiple Comparison Correction
                                                2. Benchmark Datasets
                                                  1. Node Classification Benchmarks
                                                    1. Citation Networks
                                                      1. Social Networks
                                                        1. Biological Networks
                                                        2. Graph Classification Benchmarks
                                                          1. Molecular Datasets
                                                            1. Social Network Datasets
                                                              1. Synthetic Datasets
                                                            2. Reproducibility and Fair Comparison
                                                              1. Hyperparameter Tuning
                                                                1. Model Selection
                                                                  1. Reporting Standards
                                                                    1. Code and Data Availability

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                                                                  6. GNN Applications and Tasks

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                                                                  8. Advanced Topics and Research Frontiers