Graph Memory: Spectral Associative Memory via Dirichlet Energy

arXiv:2609.32365 · cs.LG, cs.IR · Submitted 2026-09-26 · Read on arXiv

cs.LG, cs.IR

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/anonymous10m/Graph-DAM

Terminology

• Accuracy — 25× in this paper · explained in 1 episode
• Associative Memory — 23× in this paper · explained in 2 episodes
• Adjacency Matrix — 9× in this paper · explained in 1 episode
• Transformer — 7× in this paper · explained in 2 episodes
• Generative AI — 5× in this paper · explained in 2 episodes
• Graph Construction — 4× in this paper · explained in 3 episodes
• Theoretical Guarantees — 4× in this paper · explained in 2 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Foundation Model — 3× in this paper · explained in 3 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Activity Interval — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 2 episodes
• Decode — 2× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 2× in this paper
• Spectral Geometry — 2× in this paper · explained in 2 episodes
• Ambient Dimension — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• UCI Daily and Sports Activities — 1× in this paper
• UCI Human Activity Recognition — 1× in this paper
• United Airlines — 1× in this paper
• alpha — 1× in this paper · explained in 1 episode

Sources

• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Modern Methods in Associative Memory
• Hopfield Networks is All You Need
• LOD: Latent Objective Discovery in Heterogeneous Multi-Agent Reinforcement Learning
• Deep Graph Contrastive Representation Learning

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