Models¶

`openhgnn.models.BaseModel`
`openhgnn.models.CompGCN`	The models of the simplified CompGCN, without using basis vector, for a heterogeneous graph.
`openhgnn.models.HetGNN`	HetGNN[KDD2019]- Heterogeneous Graph Neural Network Source Code Link
`openhgnn.models.RGCN`	Title: Modeling Relational Data with Graph Convolutional Networks
`openhgnn.models.RGAT`
`openhgnn.models.RSHN`	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.
`openhgnn.models.SkipGram`
`openhgnn.models.HAN`	This model shows an example of using dgl.metapath_reachable_graph on the original heterogeneous graph HAN from paper Heterogeneous Graph Attention Network.
`openhgnn.models.HeCo`	Title: Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
`openhgnn.models.HGT`	Heterogeneous graph transformer convolution from Heterogeneous Graph Transformer
`openhgnn.models.GTN`	GTN from paper Graph Transformer Networks in NeurIPS_2019.
`openhgnn.models.fastGTN`	fastGTN from paper Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs.
`openhgnn.models.MHNF`	MHNF from paper Multi-hop Heterogeneous Neighborhood information Fusion graph representation learning.
`openhgnn.models.MAGNN`	This is the main method of model MAGNN
`openhgnn.models.HeGAN`	HeGAN was introduced in Adversarial Learning on Heterogeneous Information Networks
`openhgnn.models.NSHE`	NSHE[IJCAI2020] Network Schema Preserving Heterogeneous Information Network Embedding Paper Link <http://www.shichuan.org/doc/87.pdf> Code Link https://github.com/Andy-Border/NSHE
`openhgnn.models.NARS`	SCALABLE GRAPH NEURAL NETWORKS FOR HETEROGENEOUS GRAPHS.
`openhgnn.models.RHGNN`	This is the main method of model RHGNN
`openhgnn.models.HPN`	This model shows an example of using dgl.metapath_reachable_graph on the original heterogeneous graph.HPN from paper Heterogeneous Graph Propagation Network.
`openhgnn.models.KGCN`	This module KGCN was introduced in KGCN.
`openhgnn.models.SLiCE`
`openhgnn.models.HGSL`	HGSL, Heterogeneous Graph Structure Learning from paper.
`openhgnn.models.homo_GNN`	General homogeneous GNN model for HGNN HeteroMLP + HomoGNN + HeteroMLP
`openhgnn.models.general_HGNN`	General heterogeneous GNN model
`openhgnn.models.HDE`
`openhgnn.models.SimpleHGN`	This is a model SimpleHGN from Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
`openhgnn.models.GATNE`
`openhgnn.models.Rsage`
`openhgnn.models.Mg2vec`	This is a model mg2vec from `mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding<https://ieeexplore.ieee.org/document/9089251>`__
`openhgnn.models.DHNE`	Title: Structural Deep Embedding for Hyper-Networks
`openhgnn.models.DiffMG`
`openhgnn.models.MeiREC`	MeiREC from paper Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation in KDD_2019.