dhg.models

Models on Low-Order Structures

`dhg.models.GCN`	The GCN model proposed in Semi-Supervised Classification with Graph Convolutional Networks paper (ICLR 2017).
`dhg.models.GraphSAGE`	The GraphSAGE model proposed in Inductive Representation Learning on Large Graphs paper (NIPS 2017).
`dhg.models.GAT`	The GAT model proposed in Graph Attention Networks paper (ICLR 2018).
`dhg.models.GIN`	The GIN model proposed in How Powerful are Graph Neural Networks? paper (ICLR 2019).
`dhg.models.NGCF`	The NGCF model proposed in Neural Graph Collaborative Filtering paper (SIGIR 2019).
`dhg.models.LightGCN`	The LightGCN model proposed in LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation paper (SIGIR 2020).

`dhg.models.HGNN`	The HGNN model proposed in Hypergraph Neural Networks paper (AAAI 2019).
`dhg.models.HGNNP`	The HGNN ⁺ model proposed in HGNN+: General Hypergraph Neural Networks paper (IEEE T-PAMI 2022).
`dhg.models.HyperGCN`	The HyperGCN model proposed in HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs paper (NeurIPS 2019).
`dhg.models.HNHN`	The HNHN model proposed in HNHN: Hypergraph Networks with Hyperedge Neurons paper (ICML 2020).
`dhg.models.DHCF`	The DHCF model proposed in Dual Channel Hypergraph Collaborative Filtering paper (KDD 2020).