DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation
sigir26-022 · Full research paper · Xinchi Zou, Tongzhenzhi Su, Jianjun Li, Yuan Fu, Chang Liu, Zhiying Deng, Zhiwei Shen
Knowledge Graph Embedding and Comple · 33% Content-Based Transferable Recommend · 33% LLM-Derived Knowledge Infusion · 33%
Abstract
Knowledge Graphs (KGs) have proven highly effective for recommendation systems by capturing latent item relationships, while recent integration of Large Language Models (LLMs) has further enhanced semantic understanding and addressed knowledge sparsity issues. Nevertheless, current KG&LLM-based methods still face three main limitations: 1) inadequate modeling of implicit semantics relationships beyond explicit KG links; 2) suboptimal single-channel fusion of ID and LLM embeddings, which often leads to signal interference and blurred representations; and 3) insufficient consideration of user-item interaction frequency variations in recommendation strategies. To address these challenges, we propose the Dual-Channel Graph Learning (DCGL) framework, featuring three key innovations: 1) a dual-channel architecture that structurally decoupling rich semantic information from user behavioral patterns, preventing early interference; 2) a multi-level contrastive learning mechanism that enhances robustness against KG noise through intra-view contrast and bridges semantic gaps between channels via inter-view alignment; and 3) a dynamic fusion mechanism that adaptively balances semantic generalization and behavioral specificity based on interaction frequency, resolving the cascading limitation. Extensive experiments on four real-world datasets show that DCGL consistently outperforms state-of-the-art methods, yielding substantial improvements in sparse scenarios while maintaining precision for active users. Our code is available at https://github.com/XinchiZou/DCGL.
Assigned reviewers
| # | Reviewer | Match | Why (closest evidence publications in the taxonomy) | |
|---|---|---|---|---|
| 1 | Xinying Qian | 56 | 54 Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion (2024) Knowledge Graph Embedding and Completion 54 Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting (2024) Knowledge Graph Embedding and Completion 54 Few-shot temporal knowledge graph completion based on query-adaptive Mamba-enhanced temporal relation learning (2025) Knowledge Graph Embedding and Completion |
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| 2 | Qinggang Zhang | 51 | 54 LLM Collaborative Filtering: User-Item Graph as New Language (2026) Efficiency and Deployment 54 Active Ensemble Learning for Knowledge Graph Error Detection (2023) Knowledge Graph Embedding and Completion 54 Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion (2024) Knowledge Graph Embedding and Completion |
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| 3 | Dongxiao He | 48 | 63 LLM-FSGNN: LLM-Guided Feature-Structure Augmentation Graph Neural Network for Cold-Start Recommendation (2026) LLM-Derived Knowledge Infusion 63 Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation (2025) LLM-Derived Knowledge Infusion 42 HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting (2025) Graph Pretraining and Foundation Models |
Area chair
| Area chair | Match | |
|---|---|---|
| Weiming Liu 0005 | 47 |
Area-chair candidates (5)
| Weiming Liu 0005 assigned | 47 | 8 papers | |
| Maolin Wang 0001 | 46 | 15 papers | |
| Yankai Chen 0001 | 45 | 6 papers | |
| Pengyue Jia | 44 | 10 papers | |
| Leyu Lin | 44 | 15 papers |
Candidates from the panel ranked by match score
| # | Reviewer | Match | Load | Why | |
|---|---|---|---|---|---|
| 1 | Jiapu Wang | 59 | 3 | 60 From implicit parameters to explicit knowledge graphs: A structured knowledge recall framework for bidirectional generalization in LLMs (2027) KG-Augmented LLM Reasoning 60 Unifying Large Language Models and Knowledge Graphs: A Roadmap (2024) KG-Augmented LLM Reasoning |
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| 2 | Xinying Qian assigned | 56 | 3 | 54 Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion (2024) Knowledge Graph Embedding and Completion 54 Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting (2024) Knowledge Graph Embedding and Completion |
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| 3 | Ben Liu 0002 | 55 | 3 | 54 UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph (2024) Knowledge Graph Embedding and Completion 54 Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion (2025) Knowledge Graph Embedding and Completion |
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| 4 | Xiaolong Jin 0001 | 54 | 3 | 54 Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach (2018) Knowledge Graph Embedding and Completion 54 Locally Adaptive Translation for Knowledge Graph Embedding (2016) Knowledge Graph Embedding and Completion |
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| 5 | Tianzhe Zhao | 51 | 3 | 58 Untargeted Adversarial Attack on Knowledge Graph Embeddings (2024) Knowledge Graph Embedding and Completion 54 SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding (2025) Knowledge Graph Embedding and Completion |
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| 6 | Bo Chen 0023 | 51 | 3 | 57 Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models (2024) Knowledge Infusion and Open-World Augmentation 57 Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models (2026) Knowledge Infusion and Open-World Augmentation |
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| 7 | Qinggang Zhang assigned | 51 | 3 | 54 LLM Collaborative Filtering: User-Item Graph as New Language (2026) Efficiency and Deployment 54 Active Ensemble Learning for Knowledge Graph Error Detection (2023) Knowledge Graph Embedding and Completion |
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| 8 | Xiangyu Ke | 49 | 3 | 54 Scalable Community Search over Large-scale Graphs based on Graph Transformer (2024) Knowledge Graph Embedding and Completion 54 Effective and Efficient Community Search with Graph Embeddings (2023) Knowledge Graph Embedding and Completion |
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| 9 | Chunyang Wang 0001 | 48 | 3 | 76 Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation (2021) Knowledge Graph Embedding and Completion 44 Disentangled Contrastive Learning for Cross-Domain Recommendation (2023) Domain Adaptation and Disentangled Representation for CDR |
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| 10 | Dongxiao He assigned | 48 | 3 | 63 LLM-FSGNN: LLM-Guided Feature-Structure Augmentation Graph Neural Network for Cold-Start Recommendation (2026) LLM-Derived Knowledge Infusion 63 Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation (2025) LLM-Derived Knowledge Infusion |
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| 11 | Lianghao Xia | 48 | 3 | 61 DiffKG: Knowledge Graph Diffusion Model for Recommendation (2024) Knowledge Graph Embedding and Completion 57 RecLM: Recommendation Instruction Tuning (2025) Preference Alignment and Optimization |
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| 12 | Huifeng Guo | 47 | 3 | 60 SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems (2025) LLM-Derived Knowledge Infusion 56 LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models (2025) Domain-Specific and Structured Retrieval |
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| 13 | Chen Wang 0052 | 47 | 3 | 80 Knowledge Graph Context-Enhanced Diversified Recommendation (2024) Knowledge Graph Embedding and Completion 59 Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation (2023) Graph Pretraining and Foundation Models |
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| 15 | Wei Wei 0027 | 47 | 3 | 60 GraphGPT: Graph Instruction Tuning for Large Language Models (2024) KG-Augmented LLM Reasoning 60 HiGPT: Heterogeneous Graph Language Model (2024) KG-Augmented LLM Reasoning |
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| 17 | Hung Vinh Tran | 46 | 3 | 54 On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective (2025) Content-Based Transferable Recommendation 53 Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection (2026) Content-Based Transferable Recommendation |
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| 18 | Bowen Zheng 0005 | 46 | 3 | 53 Autonomous Reasoning-Retrieval for Large Language Model Based Recommendation (2025) Reasoning-Intensive Retrieval and Ranking 45 Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation (2024) Generative Recommendation and Item Tokenization |
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| 19 | Qijiong Liu | 46 | 3 | 74 ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models (2024) LLM-Derived Knowledge Infusion 56 Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision (2024) Sequential Recommendation with Side and Multimodal Information |
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| 20 | Jieming Zhu | 46 | 3 | 62 Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models (2024) Knowledge Infusion and Open-World Augmentation 57 Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models (2026) Knowledge Infusion and Open-World Augmentation |
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| 21 | Xuhui Sui | 46 | 3 | 54 Few-shot temporal knowledge graph completion based on query-adaptive Mamba-enhanced temporal relation learning (2025) Knowledge Graph Embedding and Completion 54 Dark Side of Modalities: Reinforced Multimodal Distillation for Multimodal Knowledge Graph Reasoning (2025) Knowledge Graph Embedding and Completion |
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| 22 | Wei Guo 0006 | 46 | 3 | 75 User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation (2024) Knowledge Graph Embedding and Completion 53 Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation (2023) Graph Contrastive and Self-Supervised Learning |
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| 23 | Armin Toroghi | 46 | 3 | 74 LogicRec: Recommendation with Users' Logical Requirements (2023) Knowledge Graph Embedding and Completion 61 Bayesian Knowledge-driven Critiquing with Indirect Evidence (2023) Conversational Recommendation Systems |
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| 24 | Junchen Fu | 45 | 3 | 57 Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited (2023) Recommendation Systems and Evaluation 54 Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities (2026) Multimodal Generative Recommendation |
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| 25 | Ke Wang 0038 | 45 | 3 | 48 Enhancing Cross-Domain Recommendation with Plug-In Contrastive Representations from Large Language Models (2025) Sequential and Session-based Recommendation 45 LLM-Grounded Diffusion for Cross-Domain Recommendation (2025) Diffusion and Flow Recommenders |
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| 27 | Yu Gu 0016 | 45 | 3 | 54 TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge Graphs (2023) Knowledge Graph Embedding and Completion 54 Relevance Search over Schema-Rich Knowledge Graphs (2019) Knowledge Graph Embedding and Completion |
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| 28 | Bo Peng 0009 | 45 | 3 | 56 Multi-modality meets re-learning: mitigating negative transfer in sequential recommendation (2025) Sequential Recommendation with Side and Multimodal Information 44 eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data (2024) Efficiency and Deployment |
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| 29 | Yongxin Ni | 45 | 3 | 57 An Image Dataset for Benchmarking Recommender Systems with Raw Pixels (2024) Recommendation Systems and Evaluation 51 Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited (2023) Multimodal Generative Recommendation |
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| 30 | Jiangxia Cao | 45 | 3 | 51 Enhancing Content-based Recommendation via Large Language Model (2024) Collaborative-Semantic Representation Alignment 51 A Multi-modal Modeling Framework for Cold-start Short-video Recommendation (2024) Multimodal Generative Recommendation |
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| 31 | Fu Zhang 0001 | 44 | 3 | 54 Representation Learning of Knowledge Graphs with Multi-scale Capsule Network (2019) Knowledge Graph Embedding and Completion 54 A self-supervised method for learning path-augmented knowledge graph embedding (2025) Knowledge Graph Embedding and Completion |
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| 33 | Xiaolong Liu 0012 | 44 | 3 | 80 Knowledge Graph Context-Enhanced Diversified Recommendation (2024) Knowledge Graph Embedding and Completion 42 Instruction-based Hypergraph Pretraining (2024) Graph Pretraining and Foundation Models |
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| 34 | Xiao Zhang 0034 | 44 | 3 | 57 Large Language Models Enhanced Collaborative Filtering (2024) Preference Alignment and Optimization 45 MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation (2025) Sequential and Session-based Recommendation |