ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
Official implementation of "Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding", IEEE TBD 2023.
Repository to learn relation vectors from text corpora. Includes the implementation and pre-trained embeddings of the RELATIVE model from the IJCAI 2019 paper "A Latent Variable Model for Learning Distributional Relation Vectors".
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