research

Research projects in Neural Structured Learning

Note that these research projects are not included in the prebuilt NSL pip package.

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

The implementations of Low-Dimensional Hyperbolic Knowledge Graph Embeddings [3] are provided in the kg_hyp_emb folder on a strict "as is" basis, without warranties or conditions of any kind. Also, these implementations may not be compatible with certain TensorFlow versions or Python versions.

[3] Chami, Ines, et al. "Low-Dimensional Hyperbolic Knowledge Graph Embeddings." ACL 2020.

A2N: Attending to Neighbors for Knowledge Graph Inference

The implementations of A2N [2] are provided in the a2n folder on a strict "as is" basis, without warranties or conditions of any kind. Also, these implementations may not be compatible with certain TensorFlow versions or Python versions.

[2] T. Bansal, D. Juan, S. Ravi and A. McCallum. "A2N: Attending to Neighbors for Knowledge Graph Inference." ACL 2019

GAM: Graph Agreement Models for Semi-Supervised Learning

The implementations of Graph Agreement Models (GAMs) [1] are provided in the gam folder on a strict "as is" basis, without warranties or conditions of any kind. Also, these implementations may not be compatible with certain TensorFlow versions or Python versions.

[1] O. Stretcu, K. Viswanathan, D. Movshovitz-Attias, E.A. Platanios, S. Ravi, A. Tomkins. "Graph Agreement Models for Semi-Supervised Learning." NeurIPS 2019