Graph Neural Networks

  1. Advanced GNN Architectures
    1. Higher-order GNNs
      1. Limitations of 1-WL GNNs
        1. k-GNNs
          1. Higher-order Message Passing
            1. Computational Complexity
            2. Subgraph-based Methods
              1. Subgraph Sampling
                1. Subgraph Isomorphism Networks
                2. Simplicial Neural Networks
                  1. Simplicial Complexes
                    1. Higher-order Structures
                  2. Graph Pooling Methods
                    1. Hierarchical Pooling
                      1. DiffPool
                        1. MinCut Pool
                          1. Top-K Pooling
                          2. Global Pooling
                            1. Set2Set
                              1. Sort Pooling
                                1. Attention-based Pooling
                                2. Graph Coarsening
                                  1. Graph Reduction Techniques
                                    1. Multi-resolution Analysis
                                  2. Equivariant and Invariant GNNs
                                    1. Group Theory Foundations
                                      1. Equivariant Neural Networks
                                        1. Invariant Graph Networks
                                          1. Geometric Deep Learning Principles
                                          2. Graph Transformers
                                            1. Graphormer
                                              1. Structural Encodings
                                                1. Centrality Encodings
                                                2. Graph-BERT
                                                  1. Pre-training on Graphs
                                                    1. Masked Node Prediction
                                                    2. Universal Graph Transformer

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                                                  3. Foundational GNN Architectures

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                                                  5. GNN Training and Optimization