#计算机科学#Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
#计算机科学#🤖 A Python library for learning and evaluating knowledge graph embeddings
#计算机科学#[Tool] For Knowledge Graph Representation Learning
Implementations of Embedding-based methods for Knowledge Base Completion tasks
The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.
Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)
[Paper][ACM MM 2024] Making Large Language Models Perform Better in Knowledge Graph Completion
#自然语言处理#CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
SimplE Embedding for Link Prediction in Knowledge Graphs
Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
#计算机科学#AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)
#计算机科学#Knowledge Base Embedding By Cooperative Knowledge Distillation
Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)
CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. ACL 2022
#计算机科学#[NLPCC 2023] Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings with Language Models