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title: "KDD 2023 — all accepted papers, page 6 — the most cited first"
description: "All 558 papers of KDD 2023 · page 6 of 6, the most cited first; those with our summary link to it."
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# KDD 2023: all accepted papers

558 papers · page 6 of 6 · the most cited first · [← KDD 2023](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2023/)

[← prev](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2023/papers/page/5/) [1](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2023/papers/) … [5](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2023/papers/page/5/) **6**

501. **[Distributed Optimization for Big Data Analytics: Beyond Minimization ↗](https://doi.org/10.1145/3580305.3599554)**Hongchang Gao, Xinwen Zhang*1 citation*
502. **[Efficient Single-Source SimRank Query by Path Aggregation ↗](https://doi.org/10.1145/3580305.3599328)**Mingxi Zhang, Yanghua Xiao, Wei Wang*1 citation*
503. **[Enhance Diffusion to Improve Robust Generalization ↗](https://doi.org/10.1145/3580305.3599333)**Jianhui Sun, Sanchit Sinha, Aidong Zhang*1 citation*
504. **[Entity-aware Multi-task Learning for Query Understanding at Walmart ↗](https://doi.org/10.1145/3580305.3599816)**Zhiyuan Peng, Vachik S. Dave, Nicole McNabb et al.*1 citation*
505. **[EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments ↗](https://doi.org/10.1145/3580305.3599222)**Federico Bianchi, Patrick John Chia, Jacopo Tagliabue et al.*1 citation*
506. **[Fair Allocation Over Time, with Applications to Content Moderation ↗](https://doi.org/10.1145/3580305.3599340)**Amine Allouah, Christian Kroer, Xuan Zhang et al.*1 citation*
507. **[Fair Multilingual Vandalism Detection System for Wikipedia ↗](http://dx.doi.org/10.1145/3580305.3599823)**Mykola Trokhymovych, Muniza Aslam, Ai-Jou Chou et al.*1 citation*
508. **[Fairness-Aware Continuous Predictions of Multiple Analytics Targets in Dynamic Networks ↗](https://doi.org/10.1145/3580305.3599341)**Ruifeng Liu, Qu Liu, Tingjian Ge*1 citation*
509. **[Fast Text Generation with Text-Editing Models ↗](https://doi.org/10.1145/3580305.3599579)**Eric Malmi, Yue Dong, Jonathan Mallinson et al.*1 citation*
510. **[Fragility Index: A New Approach for Binary Classification ↗](https://doi.org/10.1145/3580305.3599356)**Chen Yang, Ziqiang Zhang, Bo Cao et al.*1 citation*
511. **[GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes ↗](https://doi.org/10.1145/3580305.3599179)**Jian Zhang, Da Zheng, Xiang Song et al.*1 citation*
512. **[IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics ↗](https://doi.org/10.1145/3580305.3599385)**Jia‐Qi Yang, Yucheng Xu, Jia-Lei Shen et al.*1 citation*
513. **[Internal Logical Induction for Pixel-Symbolic Reinforcement Learning ↗](https://doi.org/10.1145/3580305.3599393)**Jiacheng Xu, Chao Chen, Fuxiang Zhang et al.*1 citation*
514. **[KDD 2023 Workshop on Data Science and AI for Sports ↗](https://doi.org/10.1145/3580305.3599213)**Huan Song, Panpan Xu, Lin Lee Cheong et al.*1 citation*
515. **[KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces ↗](https://doi.org/10.1145/3580305.3599202)**Zhiwei Tony Qin, Rui Song, Jieping Ye et al.*1 citation*
516. **[KiL 2023 : 3rd International Workshop on Knowledge-infused Learning ↗](https://doi.org/10.1145/3580305.3599199)**Manas Gaur, Efthymia Tsamoura, Sarath Sreedharan et al.*1 citation*
517. **[Learning to Discover Various Simpson's Paradoxes ↗](https://doi.org/10.1145/3580305.3599859)**Jingwei Wang, Jianshan He, Weidi Xu et al.*1 citation*
518. **[Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems ↗](https://doi.org/10.1145/3580305.3599419)**Peng Peng, Shengyi Ji, Zhen Tian et al.*1 citation*
519. **[Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding ↗](https://doi.org/10.1145/3580305.3599864)**Haoyu Wang, Yaqing Wang, Feijie Wu et al.*1 citation*
520. **[Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler ↗](https://doi.org/10.1145/3580305.3599445)**Zhijun Chen, Hailong Sun, Wanhao Zhang et al.*1 citation*
521. **[On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms ↗](https://doi.org/10.1145/3580305.3599449)**Fanchen Bu, Kijung Shin*1 citation*
522. **[RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery ↗](https://doi.org/10.1145/3580305.3599228)**Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi et al.*1 citation*
523. **[Socially Responsible Machine Learning: A Causal Perspective ↗](https://doi.org/10.1145/3580305.3599571)**Raha Moraffah, Amir-Hossein Karimi, Adrienne J. Raglin et al.*1 citation*
524. **[The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles ↗](https://doi.org/10.1145/3580305.3599520)**Md. Shamim Hussain, Mohammed Javeed Zaki, Dharmashankar Subramanian*1 citation*
525. **[The KDD'23 Workshop on Causal Discovery, Prediction and Decision (CDPD 2023) ↗](https://doi.org/10.1145/3580305.3599204)**Thuc Duy Le*1 citation*
526. **[Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications ↗](https://doi.org/10.1145/3580305.3599913)**Hanbo Zhang, Jiangxin Li, Shen Liang et al.*1 citation*
527. **[Trustworthy Transfer Learning: Transferability and Trustworthiness ↗](https://doi.org/10.1145/3580305.3599576)**Jun Wu, Jingrui He*1 citation*
528. **[Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare ↗](https://doi.org/10.1145/3580305.3599225)**Tao Xu, Fei Wang, Prithwish Chakraborty et al.*1 citation*
529. **[22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023) ↗](https://doi.org/10.1145/3580305.3599205)**Da Yan, Ariful Azad, Jie Hou et al.
530. **[2nd Workshop on End-End Customer Journey Optimization ↗](https://doi.org/10.1145/3580305.3599216)**Hongying Zhao, Zhenyu Zhao, Anbang Xu et al.
531. **[2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI) ↗](https://doi.org/10.1145/3580305.3599215)**Chen Zhao, Feng Chen, Xintao Wu et al.
532. **[2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making ↗](https://doi.org/10.1145/3580305.3599230)**Xujiang Zhao, Chen Zhao, Feng Chen et al.
533. **[3D-Polishing for Triangular Mesh Compression of Point Cloud Data ↗](https://doi.org/10.1145/3580305.3599239)**Jiaqi Gu, Guosheng Yin
534. **[3rd Workshop on Online and Adaptive Recommender Systems (OARS) ↗](https://doi.org/10.1145/3580305.3599219)**Xiquan Cui, Vachik S. Dave, Yi Dan Su et al.
535. **[AdKDD 2023 ↗](https://doi.org/10.1145/3580305.3599582)**Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee et al.
536. **[AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness ↗](https://doi.org/10.1145/3580305.3599770)**Liyao Jiang, Chenglin Li, Haolan Chen et al.
537. **[CADENCE: Offline Category Constrained and Diverse Query Generation for E-commerce Autosuggest ↗](https://doi.org/10.1145/3580305.3599787)**Abhinav Anand, Surender Kumar, Nandeesh Kumar et al.
538. **[From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market Conditions ↗](https://doi.org/10.1145/3580305.3599580)**Ankur M. Teredesai, Michael Zeller, Bao Sheng-hua et al.
539. **[From Labels to Decisions: A Mapping-Aware Annotator Model ↗](https://doi.org/10.1145/3580305.3599828)**Evan Yao, Jagdish Ramakrishnan, Xu Chen et al.
540. **[Getting an h-Index of 100 in 20 Years or Less! ↗](https://doi.org/10.1145/3580305.3599558)**Eamonn Keogh
541. **[Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs ↗](https://doi.org/10.1145/3580305.3599397)**Zequn Sun, Jiacheng Huang, Jinghao Lin et al.
542. **[KDD 2023 International Workshop on Data Science for Social Good (DSSG-23) ↗](https://doi.org/10.1145/3580305.3599210)**Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay et al.
543. **[MAPLE: Semi-Supervised Learning with Multi-Alignment and Pseudo-Learning ↗](https://doi.org/10.1145/3580305.3599423)**Juncheng Yang, Chao Li, Zuchao Li et al.
544. **[Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement ↗](https://doi.org/10.1145/3580305.3599867)**Samik Datta, Anshuman Mourya, Anirban Majumder et al.
545. **[Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples ↗](https://doi.org/10.1145/3580305.3599460)**Shuo He, Lei Feng, Guowu Yang
546. **[Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference ↗](https://doi.org/10.1145/3580305.3599183)**Aman Gupta, S. Sathiya Keerthi, Ayan Acharya et al.
547. **[Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective ↗](http://dx.doi.org/10.1145/3580305.3599569)**Meng Yu, Jiaxin Huang, Yu Zhang et al.
548. **[Privacy in Advertising: Analytics and Modeling ↗](https://doi.org/10.1145/3580305.3599570)**Badih Ghazi, Ravi Kumar, Pasin Manurangsi
549. **[Robust NLP for Finance (RobustFin) ↗](https://doi.org/10.1145/3580305.3599211)**Sameena Shah, Xiaodan Zhu, Gerard de Melo et al.
550. **[SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records ↗](https://doi.org/10.1145/3580305.3599952)**Zhipeng Ma, Chuishi Meng, Huimin Ren et al.
551. **[Self-Adaptive Perturbation Radii for Adversarial Training ↗](https://doi.org/10.1145/3580305.3599495)**Huimin Wu, Wanli Shi, Chenkang Zhang et al.
552. **[The 3rd Workshop on Artificial Intelligence-enabled Cybersecurity Analytics ↗](https://doi.org/10.1145/3580305.3599229)**Sagar Samtani, Shanchieh Jay Yang, Hsinchun Chen
553. **[The 3rd Workshop on Graph Learning Benchmarks (GLB 2023) ↗](https://doi.org/10.1145/3580305.3599224)**Jiaqi Ma, Jiong Zhu, Yuxiao Dong et al.
554. **[The 4th International Workshop on Talent and Management Computing (TMC'2023) ↗](https://doi.org/10.1145/3580305.3599200)**Hengshu Zhu, Hui Yun Xiong, Yong Ge et al.
555. **[The 6th Workshop on e-eommerce and NLP (ECNLP 6) ↗](https://doi.org/10.1145/3580305.3599212)**Shervin Malmasi, Besnik Fetahu, Eugene Agichtein et al.
556. **[The 9th SIGKDD International Workshop on Mining and Learning from Time Series ↗](http://dx.doi.org/10.1145/3580305.3599214)**Sanjay Purushotham, Dongjin Song, Qingsong Wen et al.
557. **[The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing ↗](https://doi.org/10.1145/3580305.3599233)**Wenhao Yu, Lingbo Tong, Weijia Shi et al.
558. **[Web-based Long-term Spine Treatment Outcome Forecasting ↗](https://doi.org/10.1145/3580305.3599545)**Hangting Ye, Zhining Liu, Wei Cao et al.

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