Meta-learning in Knowledge Base completion
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Updated
Aug 26, 2020 - Python
Meta-learning in Knowledge Base completion
🌮 Table-based KB Completer
Code for project on reasoning over multiple paths
Knowledge Base Completion for Long-Tail Entities
Python implementation of "Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion [Manabe+. 2018]"
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (TheWebConf WWW 2022) (Pytorch)
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion
Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
SimplE Embedding for Link Prediction in Knowledge Graphs
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)
🤖 A Python library for learning and evaluating knowledge graph embeddings
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