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title: "KDD 2024 — all accepted papers, page 7 — the most cited first"
description: "All 642 papers of KDD 2024 · page 7 of 7, the most cited first; those with our summary link to it."
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# KDD 2024: all accepted papers

642 papers · page 7 of 7 · the most cited first · [← KDD 2024](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2024/)

[← prev](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2024/papers/page/6/) [1](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2024/papers/) … [6](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2024/papers/page/6/) **7**

601. **[Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments ↗](https://doi.org/10.1145/3637528.3671643)**Yile Liang, Jiuxia Zhao, Donghui Li et al.
602. **[Health Day: Building Health AI Ecosystem: From Data Harmonization to Knowledge Discovery ↗](https://doi.org/10.1145/3637528.3673866)**Jake Y. Chen, Peipei Ping
603. **[Hierarchical Linear Symbolized Tree-Structured Neural Processes ↗](https://doi.org/10.1145/3637528.3671861)**Jinyang Tai, Yike Guo
604. **[Improved Active Covering via Density-Based Space Transformation ↗](https://doi.org/10.1145/3637528.3671794)**MohammadHossein Bateni, Hossein Esfandiari, Samira Hossein Ghorban et al.
605. **[Iterative Weak Learnability and Multiclass AdaBoost ↗](https://doi.org/10.1145/3637528.3671842)**In‐Koo Cho, Jonathan Libgober, Cheng Ding
606. **[KDD 2024 Finance Day ↗](https://doi.org/10.1145/3637528.3673865)**Guiling Wang, Daniel Borrajo
607. **[KDD 2024 Special Day - AI for Environment ↗](https://doi.org/10.1145/3637528.3673869)**Karina Gibert, Wee Hyong Tok, Miquel Sànchez–Marrè
608. **[KDD workshop on Evaluation and Trustworthiness of Generative AI Models ↗](https://doi.org/10.1145/3637528.3671481)**Yuan Ling, Shujing Dong, Yarong Feng et al.
609. **[KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs) ↗](https://doi.org/10.1145/3637528.3671495)**Manas Gaur, Efthymia Tsamoura, Edward Raff et al.
610. **[Know in AdVance: Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest ↗](https://doi.org/10.1145/3637528.3671528)**Xiaoyu Wang, Yonghui Guo, Hui Sheng et al.
611. **[Know, Grow, and Protect Net Worth: Using ML for Asset Protection by Preventing Overdraft Fees ↗](https://doi.org/10.1145/3637528.3671628)**Avishek Kumar, Tyson Silver
612. **[Learning to Bid the Interest Rate in Online Unsecured Personal Loans ↗](https://doi.org/10.1145/3637528.3671584)**Dong Jun Jee, Seung Jung Jin, Ji Hoon Yoo et al.
613. **[Lessons Learned while Running ML Models in Harsh Environments ↗](https://doi.org/10.1145/3637528.3672499)**Pedro Bizarro
614. **[Leveraging Exposure Networks for Detecting Fake News Sources ↗](https://doi.org/10.1145/3637528.3671539)**Maor Reuben, Lisa Friedland, Rami Puzis et al.
615. **[MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning ↗](https://doi.org/10.1145/3637528.3671553)**Yu Sun, Kai Wang, Zhipeng Hu et al.
616. **[Machine Learning for Clinical Management: From the Lab to the Hospital ↗](https://doi.org/10.1145/3637528.3672497)**Ricard Gavaldà
617. **[Machine Learning in Finance ↗](https://doi.org/10.1145/3637528.3671488)**Leman Akoglu, Nitesh V. Chawla, Josep Domingo‐Ferrer et al.
618. **[Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases ↗](https://doi.org/10.1145/3637528.3671441)**Daoyuan Chen, Yaliang Li, Bolin Ding
619. **[NL2Code-Reasoning and Planning with LLMs for Code Development ↗](https://doi.org/10.1145/3637528.3671505)**Ye Xing, Jun Huan, Wee Hyong Tok et al.
620. **[Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars ↗](https://doi.org/10.1145/3637528.3671596)**Austin P. Wright, Scott Davidoff, Duen Horng Chau
621. **[Optimized Cost Per Click in Online Advertising: A Theoretical Analysis ↗](https://doi.org/10.1145/3637528.3671767)**Kaichen Zhang, Zixuan Yuan, Hui Yun Xiong
622. **[Overview of ACM SIGKDD 2024 AI4Science4AI Special Day ↗](https://doi.org/10.1145/3637528.3673871)**Wei Ding, Gustau Camps‐Valls
623. **[Representation Learning of Geometric Trees ↗](https://doi.org/10.1145/3637528.3671688)**Zheng Zhang, Allen Zhang, Ruth Nelson et al.
624. **[Responsible AI Day ↗](https://doi.org/10.1145/3637528.3673867)**Ricardo A. Baeza-Yates, Nataly Buslón
625. **[Revisiting Local PageRank Estimation on Undirected Graphs: Simple and Optimal ↗](https://doi.org/10.1145/3637528.3671820)**Hanzhi Wang
626. **[Robust Predictions with Ambiguous Time Delays: A Bootstrap Strategy ↗](https://doi.org/10.1145/3637528.3671920)**Jiajie Wang, Zhiyuan Jerry Lin, Wen Chen
627. **[Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior ↗](https://doi.org/10.1145/3637528.3672031)**Pingchuan Ma, Rui Ding, Qiang Fu et al.
628. **[Scalable Graph Learning for your Enterprise ↗](https://doi.org/10.1145/3637528.3672501)**Hema Raghavan
629. **[Scaling Training Data with Lossy Image Compression ↗](https://doi.org/10.1145/3637528.3671904)**Katherine L. Mentzer, Andrea Montanari A
630. **[Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction ↗](https://doi.org/10.1145/3637528.3671608)**Dekang Qi, Xiuwen Yi, Chengjie Guo et al.
631. **[Statistical Models of Top- k Partial Orders ↗](https://doi.org/10.1145/3637528.3672014)**Amel Awadelkarim, Johan H. Ugander
632. **[The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs ↗](https://doi.org/10.1145/3637528.3671489)**Sanjay Purushotham, Dongjin Song, Qingsong Wen et al.
633. **[The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations ↗](https://doi.org/10.1145/3637528.3671502)**Ankur M. Teredesai, Michael Zeller, Mohak Shah et al.
634. **[The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24) ↗](https://doi.org/10.1145/3637528.3671501)**Zhe Jiang, Liang Zhao, Xun S. Zhou et al.
635. **[The First Workshop on AI Behavioral Science ↗](https://doi.org/10.1145/3637528.3671503)**Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan et al.
636. **[The Third Workshop on Applied Machine Learning Management ↗](https://doi.org/10.1145/3637528.3671478)**Dmitri Goldenberg, Shir Meir Lador, Elena Sokolova et al.
637. **[Top-Down Bayesian Posterior Sampling for Sum-Product Networks ↗](https://doi.org/10.1145/3637528.3671876)**Soma Yokoi, Issei Sato
638. **[Unified Low-rank Compression Framework for Click-through Rate Prediction ↗](https://doi.org/10.1145/3637528.3671520)**Hao Yu, Minghao Fu, Jiandong Ding et al.
639. **[Valuing an Engagement Surface using a Large Scale Dynamic Causal Model ↗](https://doi.org/10.1145/3637528.3671604)**Abhimanyu Mukerji, Sushant More, Ashwin Viswanathan Kannan et al.
640. **[Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG) ↗](http://dx.doi.org/10.1145/3637528.3671491)**Mehwish Alam, Davide Buscaldi, Michael Cochez et al.
641. **[Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA) ↗](https://doi.org/10.1145/3637528.3671492)**Marco Piangerelli, Bardh Prenkaj, Ylenia Rotalinti et al.
642. **[epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery ↗](http://dx.doi.org/10.1145/3637528.3671480)**Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava et al.

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