/KG_Reasoning

Some information about Knowledge Graph Reasoning

KG_Reasoning（知识推理）

Some information about Knowledge Graph Reasoning

Content

Datasets

One-shot-Reasoning

  • (GMatching) 2018 "One-Shot Relational Learning for Knowledge Graphs." paper code

  • (MetaR) 2019 "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs." paper code

  • (CogKR) 2019 "Cognitive Knowledge Graph Reasoning for One-shot Relational Learning." paper code

Few-shot-Reasoning

  • (Meta-KGR) 2019 "Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations." paper code
  • (FSRL) 2020 "Few-Shot Knowledge Graph Completion." paper code
  • (FAAN) 2020 "Adaptive Attentional Network for Few-Shot Knowledge Graph Completion." paper code

Path-based

  • (PRA) 2010 "Relational retrieval using a combination of path-constrained random walks." paper

  • (Deeppath) 2017 "Deeppath:A Reinforcement Learning Method for Knowledge Graph Reasoning." paper code

  • (Minerva) 2018 "GO FOR A WALK AND ARRIVE AT THE ANSWER: REASONING OVER PATHS IN KNOWLEDGE BASES USING REINFORCEMENT LEARNING." paper code

  • 2018 "Variational Knowledge Graph Reasoning." paper code

  • 2018 "Multi-Hop Knowledge Graph Reasoning with Reward Shaping." paper code

Graph-based

  • (GraIL) 2020 "Inductive Relation Prediction by Subgraph Reasoning." paper code

Rule-based

  • 2015 "Knowledge Base Completion Using Embeddings and Rules." paper

  • 2016 "Jointly Embedding Knowledge Graphs and Logical Rules." paper

  • (RLvLR) 2018 "Scalable Rule Learning via Learning Representation." paper

  • 2019 "Logic Rules Powered Knowledge Graph Embedding." paper

  • 2019 "Probabilistic Logic Neural Networks for Reasoning." paper

  • (DRUM) 2019 "DRRM:End-To-End Differentiable Rule Mining On Knowledge Graphs." paper

  • (Neural LP) 2019 "Differentiable Learning of Logical Rules for Knowledge Base Reasoning." paper code

Relation-extraction

  • (PCNN+ATT) 2016 "Neural Relation Extraction with Selective Attention over Instances." paper code_tensorflow code_pytorch

  • 2019 "Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks." paper

  • (GP-GNN) 2019 "Graph Neural Networks with Generated Parameters for Relation Extraction." papercode

  • (Neural Snowball) 2020 "Neural Snowball for Few-Shot Relation Learning." paper code

  • (wRAN) 2020 "Relation Adversarial Network for Low Resource Knowledge Graph Completion." paper code

Others

  • (DrKIT) 2020 "DIFFERENTIABLE REASONING OVER A VIRTUAL KNOWLEDGE BASE." paper code [PS:TEXT -> VIRTUAL KNOWLEDGE BASE]