Box Embedding Paper List

This is an (incomplete) paper list about recent advances of (Probablistic) Box Embeddings. Pull requests are welcome.

Papers

Structured Representation and Reasoning

1. Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures.
   L Vilnis*, X Li*, S Murty, A McCallum. (ACL 2018) [paper][repo]

2. Smoothing the Geometry of Probabilistic Box Embeddings.
   Xiang Lorraine Li*, Luke Vilnis*, Dongxu Zhang, Michael Boratko, Andrew McCallum. (ICLR 2019) [paper]

3. Improving Local Identifiability in Probabilistic Box Embeddings.
   Shib Dasgupta*, Michael Boratko*, Dongxu Zhang, Luke Vilnis, Xiang Lorraine Li, Andrew McCallum. (NeurIPS 2020) [paper]

4. BoxE: A Box Embedding Model for Knowledge Base Completion.
   Ralph Abboud, Ismail Ceylan, Thomas Lukasiewicz, Tommaso Salvatori. (NeurIPS 2020) [paper]

5. Query2box: Reasoning Over Knowledge Graphs In Vector Space Using Box Embeddings.
   H Ren, W Hu, J Leskovec. (ICLR 2020) [paper]

6. Representing Joint Hierarchies with Box Embeddings.
   Dhruvesh Patel*, Shib Sankar Dasgupta*, Michael Boratko, Xiang Lorraine Li, Luke Vilnis, Andrew McCallum. (AKBC 2020) [paper]

7. Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning.
   Xuelu Chen*, Michael Boratko*, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum. (NAACL 2021) [paper][repo]

Information Extraction

1. Embedding Semantic Taxonomies.
   Dhruvesh Patel*, Shib Sankar Dasgupta*, Michael Boratko, Xiang Lorraine Li, Luke Vilnis, Andrew McCallum. (COLING 2020) [paper]

2. Modeling Fine-Grained Entity Types with Box Embeddings.
   Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett. (ACL-IJCNLP 2021) [paper]

Visual Perception

1. Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings.
   Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov. (ECCV 2020) [paper]