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  | **πŸ“„ Paper** | [GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning](https://arxiv.org/abs/2507.23581) |
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  | **πŸ† Conference** | **The ACM Web Conference 2026 (WWW '26)** <br> *April 13–17, 2026, Dubai, United Arab Emirates* |
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- | **πŸ’» Full Code** | **GitHub:** `https://github.com/ycygit/GraphRAG-R1` |
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  | **πŸ€— HF Models** | This repository provides the LoRA adapters. See [Model Weights & Usage](#model-weights--usage). |
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  | **πŸ“œ License** | MIT |
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  | **πŸ“„ Paper** | [GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning](https://arxiv.org/abs/2507.23581) |
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  | **πŸ† Conference** | **The ACM Web Conference 2026 (WWW '26)** <br> *April 13–17, 2026, Dubai, United Arab Emirates* |
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+ | **πŸ’» Full Code** | **GitHub:** (https://github.com/ycygit/GraphRAG-R1) |
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  | **πŸ€— HF Models** | This repository provides the LoRA adapters. See [Model Weights & Usage](#model-weights--usage). |
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  | **πŸ“œ License** | MIT |
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