Source code for the SIGIR 2022 paper "Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding"

[AAAI 2022] Knowledge Bridging for Empathetic Dialogue Generation

EMNLP 2020 Findings: AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

Inductive relation prediction by subgraph reasoning, ICML'20

More and more works have focused on incorporating different kinds of literals into Knowledge Graph to promote the performance of knowledge embedding. These literals contain numeric literals, text literals, image literals and so on. These additional descriptions are connected to the entities through certain attributes. To incorporate numeric lite…

DistMult Complex TransE

Pytorch implementation of Quaternion Knowledge Graph Embeddings.

Combining relational context and relational paths for knowledge graph completion

Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).