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Research projects in Neural Structured Learning

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

A2N: Attending to Neighbors for Knowledge Graph Inference

The implementations of A2N [1] 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 (such as 2.0 or above) or Python versions.

[1] 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) 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 (such as 2.0 or above) or Python versions.