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wencolani edited this page Jul 21, 2023 · 7 revisions

Welcome to the NeuralKG wiki!

Model Hub

Following are models included or planed to be included in NeuralKG

C-KGE

  • TransE: Translating Embeddings for Modeling Multi-relational Data. NIPS 2013.
  • TransH
  • TransR
  • Complex
  • DistMult
  • RotatE
  • ConvE
  • BoxE
  • CrossE
  • SimplE
  • HAKE
  • PairRE
  • DualE

GNN-KGE

  • RGCN
  • KBAT
  • CompGCN
  • XTransE
  • SEGNN
  • DPMPN: Dynamically pruned message passing networks for large-scale knowledge graph reasoning. ICLR 2020.
  • DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CIKM 2021.
  • NBFNet: Neural bellmanford networks: A general graph neural network framework for link prediction. NeurIPS 2021.
  • RED-GNN: Knowledge graph reasoning with relational digraph. WWW2022

Rule-KGE

  • ComplEx-NNE-AER
  • RUGE
  • IterE

Inductive-KGE

  • GraIL
  • CoMPILE
  • SNRI
  • RMPI
  • MorsE
  • TACT: Topology-aware correlations between relations for inductive link prediction in knowledge graphs. AAAI 2022
  • ConGLR: Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. SIGIR 2022
  • Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting. IJCAI 2022
  • PathCon: Relational message passing for knowledge graph completion. KDD 2021
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