STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)
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Updated
Nov 28, 2017 - C++
STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)
Python implementation of "Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion [Manabe+. 2018]"
DeepPath - A Deep Reinforcement Learning Method for Knowledge Graph Reasoning using TensorForce
Improving Knowledge Graph Embedding Using Simple Constraints (ACL-2108)
Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
📖 Generation and Applications of Knowledge Graphs in Systems and Networks Biology
Simple-Question Answering based on Knowledge Graph Embeddings (part of my Ph.D. work)
SimplE Embedding for Link Prediction in Knowledge Graphs
A literature review for constructing and using knowledge graphs in a biomedical setting.
Source code and datasets for EMNLP 2019 paper: Jointly Learning Entity and Relation Representations for Entity Alignment.
Combining Image Recognition with Knowledge Graph Embedding for Learning Semantic Attribute of Images
Source code and datasets of EMNLP2018 paper: "Differentiating Concepts and Instances for Knowledge Graph Embedding".
Implementations of Embedding-based methods for Knowledge Base Completion tasks
Jointly Learning knowledge graph Embedding, Fine Grain Entity Types and Language Modeling.
Role-Aware Modeling for N-ary Relational Knowledge Bases
The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
🪑 Benchmark the bloom filterer at https://pykeen.github.io/bloom-filterer-benchmark/
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