ServiceNow AI Research

Reasoning

Explaining Graph Neural Networks Using Interpretable Local Surrogates
We propose an interpretable local surrogate (ILS) method for understanding the predictions of black-box graph models. Explainability …
OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning
Imagination is a crucial aspect of human intelligence that enables us to combine concepts in novel ways and make sense of new …
Knowledge Hypergraph Embedding Meets Relational Algebra
Embedding-based methods for reasoning in knowledge hypergraphs learn a representation for each entity and relation. Current methods do …
Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests
Different types of mental rotation tests have been used extensively in psychology to understand human visual reasoning and perception. …