This is a list of top papers about hyperbolic enhanced representation learning and its applications in GNN and recommender systems.
- Hyperbolic Deep Neural Networks: A Survey (Arxiv)
- Hyperbolic Graph Neural Networks: A Review of Methods and Applications (Arxiv)
- [MuRP] Multi-relational Poincaré Graph Embeddings (NeurIPS 19)
- [HHNE] Hyperbolic Heterogeneous Information Network Embedding (AAAI 19)
- [ROTH] Low-Dimensional Hyperbolic Knowledge Graph Embeddings (ACL 20)
- [HyperKA] Knowledge Association with Hyperbolic Knowledge Graph Embeddings (EMNLP 20)
- [KBHP] Knowledge Based Hyperbolic Propagation (SIGIR 21)
- [ConE] Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones (NeurIPS 21)
- [ConE] Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs (NeurIPS 21)
- [HyperML] A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems (WSDM 20)
- [Hyper-know] Knowledge-Enhanced Top-K Recommendation in Poincar´e Ball (AAAI 21)
- [HGCF] Hyperbolic Graph Convolution Networks for Collaborative Filtering (WWW 21)
- [HSCML] Where are we in embedding spaces A Comprehensive Analysis on Network Embedding Approaches for Recommender System (KDD 21)
- [LGCF] Fully Hyperbolic Graph Convolution Network for Recommendation (CIKM 21)
- [LKGR] Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation (WSDM 22)
- [HRCF] Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization (WWW 22)
- [HAKG] Hierarchy-Aware Knowledge Gated Network for Recommendation (SIGIR 22)