SeedER: Seed-Expand-Retrieve for Efficient Knowledge Graph Retrieval

arXiv:2605.23753 · cs.LG · Submitted 2026-05-22 · Read on arXiv

cs.LG

Submitted: 2026-05-22

Updated: 2026-10-05

Terminology

• Knowledge Graph — 2× in this paper · explained in 7 episodes
• Compositional Generalization — 1× in this paper · explained in 4 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• Don't Forget to Connect! Improving RAG with Graph-based Reranking
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Talk like a Graph: Encoding Graphs for Large Language Models
• The Llama 3 Herd of Models
• From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
• Retrieval-Augmented Generation with Graphs (GraphRAG)
• LoRA: Low-Rank Adaptation of Large Language Models
• Understanding R1-Zero-Like Training: A Critical Perspective
• Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
• Let Your Graph Do the Talking: Encoding Structured Data for LLMs
• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
• The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes
• BPR: Bayesian Personalized Ranking from Implicit Feedback
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• GraphSAINT: Graph Sampling Based Inductive Learning Method
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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