KDD 2023

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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：জনমত

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