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KDD 2024: all accepted papers

642 papers · page 2 of 7 · the most cited first · ← KDD 2024

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  1. CASA: Clustered Federated Learning with Asynchronous Clients ↗Boyi Liu, Yiming Ma, Zimu Zhou et al.19 citations
  2. Debiased Recommendation with Noisy Feedback ↗Haoxuan Li, Chunyuan Zheng, Wenjie Wang et al.19 citations
  3. Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text ↗Sara Abdali, Richard Anarfi, CJ Barberan et al.19 citations
  4. PATE: Proximity-Aware Time Series Anomaly Evaluation ↗Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax19 citations
  5. Heterogeneous Contrastive Learning for Foundation Models and Beyond ↗Lecheng Zheng, Baoyu Jing, Zihao Li et al.18 citations
  6. LPFormer: An Adaptive Graph Transformer for Link Prediction ↗Harry Shomer, Yao Ma, Haitao Mao et al.18 citations
  7. OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining ↗Fanjin Zhang, Shijie Shi, Yifan Zhu et al.17 citations
  8. Rethinking Fair Graph Neural Networks from Re-balancing ↗Zhixun Li, Yushun Dong, Qiang Liu et al.17 citations
  9. Class-incremental Learning for Time Series: Benchmark and Evaluation ↗Zhongzheng Qiao, Quang Pham, Zhen Cao et al.16 citations
  10. ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems ↗Pengyue Jia, Yejing Wang, Zhaocheng Du et al.16 citations
  11. Federated Graph Learning with Structure Proxy Alignment ↗Xingbo Fu, Zihan Chen, Binchi Zhang et al.16 citations
  12. Geometric View of Soft Decorrelation in Self-Supervised Learning ↗Yifei Zhang, Hao Zhu, Zixing Song et al.16 citations
  13. LaDe: The First Comprehensive Last-mile Express Dataset from Industry ↗Lixia Wu, Haomin Wen, Haoyuan Hu et al.16 citations
  14. On Early Detection of Hallucinations in Factual Question Answering ↗Ben Snyder, Marius Moisescu, Muhammad Bilal Zafar16 citations
  15. Topology-aware Embedding Memory for Continual Learning on Expanding Networks ↗Xikun Zhang, Dongjin Song, Yixin Chen et al.16 citations
  16. A Survey on Safe Multi-Modal Learning Systems ↗Tianyi Zhao, L. Zhang, Yao Ma et al.15 citations
  17. Cross-Context Backdoor Attacks against Graph Prompt Learning ↗Xiaoting Lyu, Yufei Han, Wei Wang et al.15 citations
  18. Explainable Artificial Intelligence on Biosignals for Clinical Decision Support ↗Miriam Cindy Maurer, Jacqueline Michelle Metsch, Philip Hempel et al.15 citations
  19. Graph Anomaly Detection with Few Labels: A Data-Centric Approach ↗Xiaoxiao Ma, Ruikun Li, Fanzhen Liu et al.15 citations
  20. Graph Intelligence with Large Language Models and Prompt Learning ↗Jia Li, Xiangguo Sun, Yuhan Li et al.15 citations
  21. Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing ↗Bowei He, Yunpeng Weng, Xing Jia Tang et al.15 citations
  22. Reasoning and Planning with Large Language Models in Code Development ↗Hao Ding, Ziwei Fan, Ingo Guehring et al.15 citations
  23. Contextual Distillation Model for Diversified Recommendation ↗Fan Li, Xu Si, Shisong Tang et al.14 citations
  24. Domain-Driven LLM Development: Insights into RAG and Fine-Tuning Practices ↗José Cassio dos Santos Junior, Rachel Hu, Richard Song et al.14 citations
  25. Graph Condensation for Open-World Graph Learning ↗Xinyi Gao, Tong Chen, Wentao Zhang et al.14 citations
  26. IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks ↗Yushun Dong, Binchi Zhang, Zhenyu Lei et al.14 citations
  27. Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion ↗Qinggang Zhang, Keyu Duan, Junnan Dong et al.14 citations
  28. COMET: NFT Price Prediction with Wallet Profiling ↗Tianfu Wang, Liwei Deng, Chao Wang et al.13 citations
  29. Can a Deep Learning Model be a Sure Bet for Tabular Prediction? ↗Jintai Chen, Jiahuan Yan, Qiyuan Chen et al.13 citations
  30. Conformalized Link Prediction on Graph Neural Networks ↗Tianyi Zhao, Jian Li Kang, Lu Cheng13 citations
  31. Continual Collaborative Distillation for Recommender System ↗Gyuseok Lee, SeongKu Kang, Wonbin Kweon et al.13 citations
  32. Large Scale Generative AI Text Applied to Sports and Music ↗Aaron K. Baughman, Eduardo Morales, Rahul Agarwal et al.13 citations
  33. AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation ↗Weigang Lu, Ziyu Guan, Wei Zhong Zhao et al.12 citations
  34. From Variability to Stability: Advancing RecSys Benchmarking Practices ↗Valeriy Shevchenko, Nikita Belousov, Alexey Vasilev et al.12 citations
  35. MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline ↗Guangming Sheng, Junwei Su, Chao Huang et al.12 citations
  36. Non-autoregressive Generative Models for Reranking Recommendation ↗Yuxin Ren, Qiya Yang, Yichun Wu et al.12 citations
  37. Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer ↗Zhaoyang Yu, Changhua Pei, Xin Wang et al.12 citations
  38. ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving ↗Rongqing Li, Changsheng Li, Yuhang Li et al.11 citations
  39. MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning ↗Sanchit Sinha, Yuguang Yue, Víctor Soto et al.11 citations
  40. Multi-objective Learning to Rank by Model Distillation ↗Jie Tang, Huiji Gao, Liwei He et al.11 citations
  41. Privacy-Preserving Federated Learning using Flower Framework ↗Mohammad Fahim Naseri, Javier Fernández-Marqués, Yan Gao et al.11 citations
  42. Trinity: Syncretizing Multi-/Long-Tail/Long-Term Interests All in One ↗Jing Yan, Liu Jiang, Jianfei Cui et al.11 citations

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