Awesome Recommendation Graphs

Key papers

• PepGraphormer: an ESM-GAT hybrid deep learning framework for antimicrobial peptide prediction (2026)
  Changhang Lin et al.
  6.52
• Graph Learning (2025)
  Feng Xia et al.
  4.58
• RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation (2026)
  Renzhi Wu et al.
  4.39
• Incorporating Deep Learning Design in Database Queries (2026)
  Yuval Lev Lubarsky et al.
  4.33
• UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs (2025)
  Yufei He et al.
  4.30
• Towards Mechanistic Interpretability of Graph Transformers via Attention Graphs (2025)
  Batu El et al.
  4.30
• RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation (2025)
  Renzhi Wu and Junjie Yang and Li Chen and Hong Li and Li Yu and Hong Yan
  4.03
• Graph Contrastive Learning on Multi-label Classification for Recommendations (2025)
  Jiayang Wu et al.
  3.59
• Causal Graph Neural Networks for Healthcare (2025)
  Munib Mesinovic et al.
  3.21
• Fairness-Aware Graph Representation Learning with Limited Demographic Information (2025)
  Zichong Wang et al.
  3.21
• Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learning (2025)
  Jinmeiyang Wang et al.
  3.10
• Graph Federated Learning for Personalized Privacy Recommendation (2025)
  Ce Na et al.
  3.04
• NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification (2025)
  Jun Hu et al.
  2.99
• Graph Neural Network Enhanced Sequential Recommendation Method for Cross-Platform Ad Campaign (2025)
  Xiang Li et al.
  2.99
• Gated Multimodal Graph Learning for Personalized Recommendation (2025)
  Sibei Liu et al.
  2.93
• Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects (2025)
  Daniel F. Villarraga and Ricardo A. Daziano
  2.76
• TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics (2025)
  Lu Yi et al.
  2.71
• Collaborative Path Optimization for Technology-Driven Innovation in the Sports Industry Using Enhanced Graph Attention Networks (2026)
  Zhaoyin Jiang et al.
  2.00
• Pro-GAT: Reconnecting Fragmented PROTACs Using Graph Attention Transformer (2026)
  Saahithi Vemuri et al.
  2.00
• Research on Deep Extraction of Financial Entity Relations based on GAT Fusion Model (2026)
  Jia-Wei Hong
  2.00
• End-to-End Personalization via Unifying LLM Agents and Graph Attention Networks for Entertainment Recommendation (2026)
  Danial Ebrat et al.
  2.00
• Mongolian medicine prescription recommendation using graph attention networks leveraging semantic associations for precise predictions (2026)
  Shuqin Han et al.
  2.00
• From Graph Attention to Multi-Fusion Models: Advancing Drug-Target Binding Affinity Modelling (2026)
  Garima Chanana
  2.00
• ARN-GAT: an adaptive node and relation modeling framework for patent knowledge graph topic identification (2026)
  Weizhong Liu et al.
  2.00
• Graph Attention Reinforcement Learning for Structured Interaction in Cooperative Decision Networks (2026)
  Mikkel Jensen et al.
  2.00
• Adaptive Structural Similarity Guided GCN–GAT Framework for Robust Link Prediction (2026)
  Shambhu Kumar et al.
  2.00
• GAT-GCN: Drug Molecular Solubility Prediction Based on Graph Neural Networks (2026)
  Yiyue Hu
  2.00
• GAT-ARS: A Unified Academic Recommendation Model Powered by Graph Attention Mechanisms (2026)
  Ramachandra H V et al.
  2.00
• Domain-Adaptive Sparse Graph Attention Network for Neural Resource Recommendation in Business Language Learning (2026)
  Zhengyan Deng
  2.00
• Improving personalized recommendations system using graph attention networks driven by perceived complexity and innovation (2026)
  S. Ullah et al.
  2.00
• Leveraging a graph attention network-based academic recommendation framework for Indian higher education institutions (2026)
  H. V. Ramachandra et al.
  2.00
• Hybrid Graph Attention Network and XGBoost Framework for Interpretable Molecular Toxicity Prediction (2026)
  S. May et al.
  2.00
• Hybrid Stacked Autoencoder-Graph Attention Network with Chebyshev Cloud Drift Optimization for Treatment Recommendation (2026)
  Suseendra R et al.
  2.00
• ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation (2026)
  Xiaofan Zhou et al.
  1.89
• CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations (2026)
  Xiping Li et al.
  1.89
• Graph self-supervised learning based on frequency corruption (2026)
  Haojie Li et al.
  1.89
• TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only (2026)
  Yilun Liu et al.
  1.89
• Graph Hopfield Networks: Energy-Based Node Classification with Associative Memory (2026)
  Abinav Rao et al.
  1.83
• How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs (2026)
  Mathilde Perez et al.
  1.83
• Detecting Fake Reviewer Groups in Dynamic Networks: An Adaptive Graph Learning Method (2026)
  Jing Zhang et al.
  1.83
• $P^2$GNN: Two Prototype Sets to boost GNN Performance (2026)
  Arihant Jain et al.
  1.83
• GaLoRA: Parameter-Efficient Graph-Aware LLMs for Node Classification (2026)
  Mayur Choudhary et al.
  1.83
• TAS-GNN: A Status-Aware Signed Graph Neural Network for Anomaly Detection in Bitcoin Trust Systems (2026)
  Chang Xue et al.
  1.83
• Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution (2026)
  Hua Liu et al.
  1.83
• GraphVLM: Benchmarking Vision Language Models for Multimodal Graph Learning (2026)
  Jiajin Liu et al.
  1.83
• RaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation (2026)
  Yixuan Huang et al.
  1.83
• Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks (2026)
  Jiahao Zhang et al.
  1.83
• FastPFRec: A Fast Personalized Federated Recommendation with Secure Sharing (2026)
  Zhenxing Yan et al.
  1.83
• FairGC: Fairness-aware Graph Condensation (2026)
  Yihan Gao et al.
  1.83
• Aspect-Aware MOOC Recommendation in a Heterogeneous Network (2026)
  Seongyeub Chu et al.
  1.78
• CFRecs: Counterfactual Recommendations on Real Estate User Listing Interaction Graphs (2026)
  Seyedmasoud Mousavi et al.
  1.78
• LIT-GRAPH: Evaluating Deep vs. Shallow Graph Embeddings for High-Quality Text Recommendation in Domain-Specific Knowledge Graphs (2026)
  Nirmal Gelal et al.
  1.78
• TFMLinker: Universal Link Predictor by Graph In-Context Learning with Tabular Foundation Models (2026)
  Tianyin Liao et al.
  1.78
• MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation (2026)
  Jialin Liu et al.
  1.78
• TopoFair: Linking Topological Bias to Fairness in Link Prediction Benchmarks (2026)
  Lilian Marey et al.
  1.78
• Towards Personalized Bangla Book Recommendation: A Large-Scale Multi-Entity Book Graph Dataset (2026)
  Rahin Arefin Ahmed et al.
  1.78
• OPBench: A Graph Benchmark to Combat the Opioid Crisis (2026)
  Tianyi Ma et al.
  1.78
• CITED: A Decision Boundary-Aware Signature for GNNs Towards Model Extraction Defense (2026)
  Bolin Shen et al.
  1.78
• RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection (2026)
  Longlong Zhang et al.
  1.78
• Cross-Representation Knowledge Transfer for Improved Sequential Recommendations (2026)
  Artur Gimranov et al.
  1.78