KDD2023 | 论文选摘50篇（附代码）
1. DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
Code：None
Area：一种用于股票趋势预测增量学习的元学习方法
2. HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Code：https://github.com/wenzhilics/HomoGCL
Area：图对比学习
3. GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Code：https://github.com/wenzhilics/GraphSHA
Area：类不平衡节点分类
4. FedMultimodal: A Benchmark For Multimodal Federated Learning
Code：https://github.com/usc-sail/fed-multimodal
Area：多模态联邦学习
5. Multi-Temporal Relationship Inference in Urban Areas
Code：https://github.com/agave233/SEENet
Area：位置之间的多时态关系推断、图学习
6. MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification
Code：None
Area：提示学习少样本文本分类
7. ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop
Code：https://xpai.github.io/ReLoop
Area：工业推荐系统
8. Reducing Exposure to Harmful Content via Graph Rewiring
Code：None
Area：Others
9. WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences
Code：https://github.com/THUDM/WebGLM
Area：基于通用语言模型 (GLM) 的网络增强型问答系统
10. CARL-G: Clustering-Accelerated Representation Learning on Graphs
Code：None
Area：图上的聚类加速表示学习
11. Localised Adaptive Spatial-Temporal Graph Neural Network
Code：None
Area：局部自适应时空图神经网络
12. SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and its Evaluation
Code：https://sentiment.bangla.gov.bd/
Area：多域情感分析数据集
13. Virtual Node Tuning for Few-shot Node Classification
Code：None
Area：小样本节点分类
14. RankFormer: Listwise Learning-to-Rank Using Listwide Labels
Code：None
Area：Others
15. Modeling Dual Period-Varying Preferences for Takeaway Recommendation
Code：None
Area：外卖推荐系统
16. Efficient Centrality Maximization with Rademacher Averages
Code：None
Area：Others
17. Classification of Edge-dependent Labels of Nodes in Hypergraphs
Code：None
Area：超图
18. Local Boosting for Weakly-Supervised Learning
Code：https://github.com/rz-zhang/local_boost
Area：弱监督学习
19. Improving Conversational Recommendation Systems via Counterfactual Data Simulation
Code：https://github.com/RUCAIBox/CFCRS
Area：会话推荐系统
20. COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search
Code：None
Area：Others
21. Discovering Dynamic Causal Space for DAG Structure Learning
Code：None
Area：因果发现
22. Enhance Diffusion to Improve Robust Generalization
Code：None
Area：Others
23. Path-Specific Counterfactual Fairness for Recommender Systems
Code：None
Area：推荐系统
24. R-Mixup: Riemannian Mixup for Biological Networks
Code：None
Area：Others
25. Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines
Code：None
Area：Others
26. Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity
Code：None
Area：Others
27. Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation
Code：None
Area：推荐系统
28. Towards Fair Disentangled Online Learning for Changing Environments
Code：None
Area：在线学习
29. DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling
Code：None
Area：https://github.com/night-chen/DyGen
30. Learning Strong Graph Neural Networks with Weak Information
Code：None
Area：图神经网络
31. Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization
Code：None
Area：域泛化
32. Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term
Code：https://github.com/intelligent-machine-learning/dlrover/tree/master/atorch/atorch/optimizers
Area：Others
33. Maximizing Neutrality in News Ordering
Code：None
Area：假新闻检测
34. Breaking the Curse of Quality Saturation with User-Centric Ranking
Code：None
Area：Others
35. Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies
Code：None
Area：可区分搜索索引
36. Text Is All You Need: Learning Language Representations for Sequential Recommendation
Code：None
Area：Others
37. Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
Code：None
Area：Others
38. Semi-Supervised Graph Imbalanced Regression
Code：None
Area：半监督图不平衡回归
39. Web-Scale Academic Name Disambiguation: the WhoIsWho Benchmark, Leaderboard, and Toolkit
Code：https://github.com/THUDM/WhoIsWho
Area：Others
40. Improving Training Stability for Multitask Ranking Models in Recommender Systems
Code：None
Area：https://github.com/tensorflow/recommenders/tree/main/tensorflow_recommenders/experimental/optimizers/clippy_adagrad.py
41. Rover: An online Spark SQL tuning service via generalized transfer learning
Code：None
Area：Others
42. Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework
Code：None
Area：联邦学习
43. Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)
Code：None
Area：Others
44. Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining
Code：None
Area：Others
45. UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation
Code：None
Area：Others
46. Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
Code：None
Area：Others
47. AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning
Code：https://github.com/LARS-research/AdaProp
Area：Others
48. Data-Efficient and Interpretable Tabular Anomaly Detection
Code：None
Area：异常检测
49. UA-FedRec: Untargeted Attack on Federated News Recommendation
Code：https://github.com/yjw1029/UA-FedRec
Area：Others
50. Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures
Code：https://github.com/pengzhaostat/MLG_MFM
Area：Others
51. Deep Weakly-supervised Anomaly Detection
Code：https://github.com/mala-lab/PReNet
Area：Others
