ModelsΒΆ
The models of the simplified CompGCN, without using basis vector, for a heterogeneous graph. |
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HetGNN[KDD2019]- Heterogeneous Graph Neural Network Source Code Link |
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Title: Modeling Relational Data with Graph Convolutional Networks |
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Relation structure-aware heterogeneous graph neural network (RSHN) builds coarsened line graph to obtain edge features first, then uses a novel Message Passing Neural Network (MPNN) to propagate node and edge features. |
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This model shows an example of using dgl.metapath_reachable_graph on the original heterogeneous graph HAN from paper Heterogeneous Graph Attention Network. |
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Title: Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning |
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Heterogeneous graph transformer convolution from Heterogeneous Graph Transformer |
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GTN from paper Graph Transformer Networks in NeurIPS_2019. |
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fastGTN from paper Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs. |
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MHNF from paper Multi-hop Heterogeneous Neighborhood information Fusion graph representation learning. |
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This is the main method of model MAGNN |
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HeGAN was introduced in Adversarial Learning on Heterogeneous Information Networks |
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Network Schema Preserving Heterogeneous Information Network Embedding Paper Link <http://www.shichuan.org/doc/87.pdf> Code Link https://github.com/Andy-Border/NSHE |
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This is the main method of model RHGNN |
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This model shows an example of using dgl.metapath_reachable_graph on the original heterogeneous graph.HPN from paper Heterogeneous Graph Propagation Network. |
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This module KGCN was introduced in KGCN. |
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HGSL, Heterogeneous Graph Structure Learning from paper. |
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General homogeneous GNN model for HGNN HeteroMLP + HomoGNN + HeteroMLP |
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General heterogeneous GNN model |
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This is a model SimpleHGN from Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks |
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This is a model mg2vec from `mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding<https://ieeexplore.ieee.org/document/9089251>`__ |
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Title: Structural Deep Embedding for Hyper-Networks |
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MeiREC from paper Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation in KDD_2019. |
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Heterogeneous Message-Passing Neural Network (HMPNN) |
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This is a model SimpleHGN from Simple and Efficient Heterogeneous Graph Neural Network This model is a metapath-based model. |