{"total":53,"rows":[{"id":"2308.15651","title":"Ensuring User-side Fairness in Dynamic Recommender Systems","created":"2023-08-29","cited_by_count":27,"area":null},{"id":"2502.12586","title":"G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation","created":"2025-02-18","cited_by_count":27,"area":"rag"},{"id":"2201.06848","title":"High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing","created":"2022-01-18","cited_by_count":26,"area":null},{"id":"2403.12384","title":"AlignRec: Aligning and Training in Multimodal Recommendations","created":"2024-03-19","cited_by_count":21,"area":null},{"id":"2402.05962","title":"EXGC: Bridging Efficiency and Explainability in Graph Condensation","created":"2024-02-05","cited_by_count":20,"area":null},{"id":"2504.18383","title":"Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation","created":"2025-04-25","cited_by_count":15,"area":null},{"id":"2408.08933","title":"RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search","created":"2024-08-16","cited_by_count":12,"area":null},{"id":"2408.00490","title":"Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation","created":"2024-08-01","cited_by_count":11,"area":null},{"id":"2411.17350","title":"Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification","created":"2024-11-26","cited_by_count":11,"area":null},{"id":"2311.02816","title":"APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation","created":"2023-11-06","cited_by_count":10,"area":null},{"id":"2406.13544","title":"One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes","created":"2024-06-19","cited_by_count":9,"area":null},{"id":"2401.02086","title":"View-based Explanations for Graph Neural Networks","created":"2024-01-04","cited_by_count":8,"area":null},{"id":"2409.20052","title":"Mitigating Propensity Bias of Large Language Models for Recommender Systems","created":"2024-09-30","cited_by_count":8,"area":null},{"id":"2201.08455","title":"LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models","created":"2022-01-20","cited_by_count":7,"area":null},{"id":"2304.03864","title":"SGDP: A Stream-Graph Neural Network Based Data Prefetcher","created":"2023-04-07","cited_by_count":7,"area":null},{"id":"2304.09097","title":"Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems","created":"2023-04-07","cited_by_count":7,"area":null},{"id":"2403.06239","title":"Cooperative Classification and Rationalization for Graph Generalization","created":"2024-03-10","cited_by_count":7,"area":null},{"id":"2408.02691","title":"Symmetric Graph Contrastive Learning against Noisy Views for Recommendation","created":"2024-08-03","cited_by_count":7,"area":null},{"id":"2305.15622","title":"GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint","created":"2023-05-25","cited_by_count":6,"area":null},{"id":"2310.10064","title":"Shape-aware Graph Spectral Learning","created":"2023-10-16","cited_by_count":6,"area":null},{"id":"2406.12539","title":"The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs","created":"2024-06-18","cited_by_count":6,"area":null},{"id":"2311.05722","title":"Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL Designs","created":"2023-11-09","cited_by_count":5,"area":null},{"id":"2405.16800","title":"TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations","created":"2024-05-27","cited_by_count":5,"area":null},{"id":"2412.00418","title":"Mixture of Experts for Node Classification","created":"2024-11-30","cited_by_count":4,"area":"moe"},{"id":"2505.20807","title":"Simple yet Effective Graph Distillation via Clustering","created":"2025-05-27","cited_by_count":4,"area":null},{"id":"2105.05821","title":"SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning","created":"2021-05-12","cited_by_count":3,"area":null},{"id":"2310.19394","title":"LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation","created":"2023-10-30","cited_by_count":3,"area":null},{"id":"2407.18910","title":"Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation","created":"2024-07-26","cited_by_count":3,"area":null},{"id":"2408.00700","title":"You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning","created":"2024-08-01","cited_by_count":3,"area":null},{"id":"2411.10676","title":"Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective","created":"2024-11-16","cited_by_count":3,"area":"distill"},{"id":"2502.05000","title":"Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification","created":"2025-02-07","cited_by_count":3,"area":null},{"id":"2503.23076","title":"Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion","created":"2025-03-29","cited_by_count":3,"area":null},{"id":"2401.10753","title":"BoolGebra: Attributed Graph-learning for Boolean Algebraic Manipulation","created":"2024-01-19","cited_by_count":2,"area":null},{"id":"2406.11714","title":"Scalable Expressiveness through Preprocessed Graph Perturbations","created":"2024-06-17","cited_by_count":2,"area":null},{"id":"2407.00056","title":"MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion","created":"2024-06-15","cited_by_count":2,"area":null},{"id":"2504.14188","title":"Rethinking Client-oriented Federated Graph Learning","created":"2025-04-19","cited_by_count":2,"area":null},{"id":"2504.16576","title":"MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation","created":"2025-04-23","cited_by_count":2,"area":null},{"id":"2303.17727","title":"BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware","created":"2023-03-30","cited_by_count":1,"area":null},{"id":"2305.01514","title":"Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing","created":"2023-04-25","cited_by_count":1,"area":null},{"id":"2306.07992","title":"Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework","created":"2023-06-11","cited_by_count":1,"area":null},{"id":"2308.08234","title":"Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey","created":"2023-08-16","cited_by_count":1,"area":null},{"id":"2405.15280","title":"DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback","created":"2024-05-24","cited_by_count":1,"area":null},{"id":"2410.06460","title":"A Benchmark on Directed Graph Representation Learning in Hardware Designs","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2506.09803","title":"Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols","created":"2025-06-11","cited_by_count":1,"area":"safety"},{"id":"2511.19931","title":"LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training","created":"2025-11-25","cited_by_count":1,"area":null},{"id":"2602.23556","title":"Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents","created":"2026-02-26","cited_by_count":1,"area":"agents"},{"id":"2404.11714","title":"Implementation and Evaluation of a Gradient Descent-Trained Defensible Blackboard Architecture System","created":"2024-04-17","cited_by_count":0,"area":null},{"id":"2407.21034","title":"Watermarking Recommender Systems","created":"2024-07-17","cited_by_count":0,"area":null},{"id":"2503.09726","title":"How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks?","created":"2025-03-12","cited_by_count":0,"area":null},{"id":"2603.16800","title":"RaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2603.17309","title":"ReLMXEL: Adaptive RL-Based Memory Controller with Explainable Energy and Latency Optimization","created":"2026-03-18","cited_by_count":0,"area":"deeprl"},{"id":"2607.21659","title":"Defining AI-Native Systems: Autonomy as Revision Authority","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2608.01041","title":"On the Limits of Machine-Learned Ranking for Modern Microarchitectural Policies","created":"2026-08-02","cited_by_count":0,"area":null}],"next_cursor":null}