Code and data accompanying the paper: "Model-Agnostic Bias Measurement in Link Prediction" published in the EACL Findings 2023
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Updated
Feb 24, 2023 - Python
Code and data accompanying the paper: "Model-Agnostic Bias Measurement in Link Prediction" published in the EACL Findings 2023
a kg embedding repo!
Experiments on Knowledge Graph Embeddings models for link prediction and deletion
Code for https://arxiv.org/abs/1907.03143
The first knowledge graph embedding benchmark allowing the comprehensive evaluation of inductive knowledge graph embedding techniques. It represents an evolving knowledge graph and is extracted from the Wikidata knowledge base.
We extend the idea of reducing false negatives by adopting a Tucker decomposition representation to enhance the semantic soundness of latent relations among entities by introducing a relation feature space.
Uncertain Knowledge Graphs Embedding with BERT Pretrained Language Model
LiteralKG is a novel Attributed Knowledge Graph Embedding Model developed by NS Lab @ CUK based on pure PyTorch backend.
An implementation of the inductive knowledge graph embedding technique Parallel Universe TransE (puTransE) built upon the OpenKE framework.
High-performance implementations of W2V, DistMult, CP, SimplE, ComplEx, RotatE, Quaternion, and MEI. Paper: Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion (ECAI 2020).
Knowledge Graph Embedding with interactive live visualization.
Source code for the paper "Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records"
Unsupervised, geometry-based taxonomy learning for knowledge graphs
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs, ISWC 2019
A Python library for knowledge graph representation learning (graph embedding).
Some papers on Temporal Knowledge Graph Embedding and Reasoning
Code for "Highly Efficient Knowledge Graph Embedding Learning with Closed-Form Orthogonal Procrustes Analysis" (NAACL 2021)
🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings
Reproduceing the models of Knowledge Representation Learning (KRL), such as TransE, TransH etc.
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding @ ACL'21
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