Neural Structural Reasoner: A Brain-inspired Architecture for Reasoning over Structured Knowledge

arXiv:2609.36620 · cs.AI, q-bio.NC · Submitted 2026-09-29 · Read on arXiv

cs.AI, q-bio.NC

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Benchmark — 26× in this paper · explained in 2 episodes
• Aggregation — 18× in this paper · explained in 1 episode
• Knowledge Graph — 16× in this paper · explained in 7 episodes
• Structural Reasoning — 16× in this paper · explained in 2 episodes
• Embeddings — 11× in this paper · explained in 2 episodes
• Knowledge graphs — 8× in this paper · explained in 2 episodes
• Trace — 8× in this paper · explained in 2 episodes
• Neural Structural Reasoner — 7× in this paper
• Accuracy — 6× in this paper · explained in 1 episode
• Ablation — 5× in this paper · explained in 1 episode
• Adam — 5× in this paper · explained in 2 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Core — 4× in this paper · explained in 2 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• Adjacency Matrix — 2× in this paper · explained in 1 episode
• Compositional Generalization — 2× in this paper · explained in 4 episodes
• Multi-hop Reasoning — 2× in this paper · explained in 3 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Associative Memory — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Mean Reciprocal Rank — 1× in this paper
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes

Sources

• Relational inductive biases, deep learning, and graph networks
• Neural Compositional Rule Learning for Knowledge Graph Reasoning
• Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
• Towards Foundation Models for Knowledge Graph Reasoning
• Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures
• Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
• Relating transformers to models and neural representations of the hippocampal formation

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