{"total":54,"rows":[{"id":"2202.00661","title":"When Do Flat Minima Optimizers Work?","created":"2022-02-01","cited_by_count":78,"area":null},{"id":"2101.06323","title":"TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search","created":"2021-01-15","cited_by_count":54,"area":null},{"id":"2101.02844","title":"Dynamic Graph Collaborative Filtering","created":"2021-01-08","cited_by_count":33,"area":null},{"id":"2104.10584","title":"Deep Learning for Click-Through Rate Estimation","created":"2021-04-21","cited_by_count":33,"area":null},{"id":"2202.10462","title":"Click-Through Rate Prediction in Online Advertising: A Literature Review","created":"2022-02-22","cited_by_count":31,"area":null},{"id":"2310.09234","title":"ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction","created":"2023-10-13","cited_by_count":27,"area":null},{"id":"2306.00315","title":"Explicit Feature Interaction-aware Uplift Network for Online Marketing","created":"2023-06-01","cited_by_count":25,"area":null},{"id":"2101.02342","title":"User Response Prediction in Online Advertising","created":"2021-01-07","cited_by_count":15,"area":null},{"id":"2205.01030","title":"GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition","created":"2022-04-12","cited_by_count":14,"area":null},{"id":"2105.11866","title":"GraphFM: Graph Factorization Machines for Feature Interaction Modeling","created":"2021-05-25","cited_by_count":13,"area":null},{"id":"2401.02143","title":"Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions","created":"2024-01-04","cited_by_count":13,"area":null},{"id":"2305.18238","title":"Multi-behavior Self-supervised Learning for Recommendation","created":"2023-05-22","cited_by_count":11,"area":null},{"id":"2201.07849","title":"Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework","created":"2022-01-19","cited_by_count":10,"area":null},{"id":"2308.01737","title":"MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction","created":"2023-08-03","cited_by_count":10,"area":null},{"id":"2105.04067","title":"Neural Graph Matching based Collaborative Filtering","created":"2021-05-10","cited_by_count":9,"area":null},{"id":"2301.12762","title":"Causality-based CTR Prediction using Graph Neural Networks","created":"2023-01-30","cited_by_count":9,"area":null},{"id":"2305.17386","title":"HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer","created":"2023-05-27","cited_by_count":8,"area":null},{"id":"2105.07752","title":"Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction","created":"2021-05-17","cited_by_count":6,"area":null},{"id":"2206.13764","title":"Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems","created":"2022-06-28","cited_by_count":6,"area":null},{"id":"2505.19505","title":"Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model","created":"2025-05-26","cited_by_count":6,"area":"lr"},{"id":"2201.01188","title":"Graph Neural Networks: a bibliometrics overview","created":"2022-01-03","cited_by_count":5,"area":null},{"id":"2104.01716","title":"Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling","created":"2021-04-05","cited_by_count":4,"area":null},{"id":"2204.06240","title":"CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU","created":"2022-04-13","cited_by_count":4,"area":null},{"id":"2505.14057","title":"Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction","created":"2025-05-20","cited_by_count":4,"area":null},{"id":"2204.03225","title":"Explicit Feature Interaction-aware Graph Neural Networks","created":"2022-04-07","cited_by_count":3,"area":null},{"id":"2305.15843","title":"TabGSL: Graph Structure Learning for Tabular Data Prediction","created":"2023-05-25","cited_by_count":3,"area":null},{"id":"2308.14902","title":"Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks","created":"2023-08-28","cited_by_count":3,"area":null},{"id":"2505.17999","title":"Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction","created":"2025-05-23","cited_by_count":3,"area":null},{"id":"2107.12025","title":"ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding","created":"2021-07-26","cited_by_count":2,"area":null},{"id":"2110.09770","title":"AEFE: Automatic Embedded Feature Engineering for Categorical Features","created":"2021-10-19","cited_by_count":2,"area":null},{"id":"2508.15678","title":"Tree-like Pairwise Interaction Networks","created":"2025-08-21","cited_by_count":2,"area":null},{"id":"2105.03811","title":"Click-Through Rate Prediction Using Graph Neural Networks and Online Learning","created":"2021-05-09","cited_by_count":1,"area":null},{"id":"2208.03454","title":"LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation","created":"2022-08-06","cited_by_count":1,"area":null},{"id":"2211.11159","title":"Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation","created":"2022-11-21","cited_by_count":1,"area":"distill"},{"id":"2404.15678","title":"Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System","created":"2024-04-24","cited_by_count":1,"area":null},{"id":"2408.08713","title":"Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction","created":"2024-08-16","cited_by_count":1,"area":null},{"id":"2409.14945","title":"Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction","created":"2024-09-23","cited_by_count":1,"area":null},{"id":"2409.19513","title":"One Node Per User: Node-Level Federated Learning for Graph Neural Networks","created":"2024-09-29","cited_by_count":1,"area":null},{"id":"2503.14813","title":"Scaled Supervision is an Implicit Lipschitz Regularizer","created":"2025-03-19","cited_by_count":1,"area":null},{"id":"2306.00009","title":"Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender","created":"2023-05-29","cited_by_count":0,"area":null},{"id":"2310.16141","title":"Context-aware explainable recommendations over knowledge graphs","created":"2023-10-24","cited_by_count":0,"area":null},{"id":"2402.02862","title":"Graph Neural Machine: A New Model for Learning with Tabular Data","created":"2024-02-05","cited_by_count":0,"area":null},{"id":"2502.13471","title":"From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs","created":"2025-02-19","cited_by_count":0,"area":null},{"id":"2504.08746","title":"Enhancing Recommender Systems Using Textual Embeddings from Pre-trained Language Models","created":"2025-03-24","cited_by_count":0,"area":null},{"id":"2505.02844","title":"Feature Staleness Aware Incremental Learning for CTR Prediction","created":"2025-04-29","cited_by_count":0,"area":null},{"id":"2508.07223","title":"Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation","created":"2025-08-10","cited_by_count":0,"area":"lr"},{"id":"2508.20986","title":"Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets","created":"2025-08-28","cited_by_count":0,"area":null},{"id":"2510.04543","title":"The Role of Feature Interactions in Graph-based Tabular Deep Learning","created":"2025-10-06","cited_by_count":0,"area":null},{"id":"2512.01179","title":"Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2601.01473","title":"Accelerating Storage-Based Training for Graph Neural Networks","created":"2026-01-04","cited_by_count":0,"area":null},{"id":"2604.18146","title":"Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2604.20847","title":"Revisiting Content-Based Music Recommendation: Efficient Feature Aggregation from Large-Scale Music Models","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2607.09666","title":"Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2609.16548","title":"QueryFormer: Winning Solution for KDD Cup 2026 Tencent UniRec Challenge","created":"2026-09-15","cited_by_count":0,"area":null}],"next_cursor":null}