--- title: "KDD 2022 — all accepted papers, page 6 — the most cited first" description: "All 534 papers of KDD 2022 · page 6 of 6, the most cited first; those with our summary link to it." canonical: "https://research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/papers/page/6/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/papers/page/6/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [KDD](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/) / [2022](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/) / [papers](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/papers/) / page 6 # KDD 2022: all accepted papers 534 papers · page 6 of 6 · the most cited first · [← KDD 2022](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/) [← prev](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/papers/page/5/) [1](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/papers/) … [5](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/papers/page/5/) **6** 501. **[1st ACM SIGKDD Workshop on Ethical Artificial Intelligence ↗](https://doi.org/10.1145/3534678.3542912)**Zhao Chen, Feng Chen, Xintao Wu et al. 502. **[1st Workshop on End-End Customer Journey Optimization ↗](https://doi.org/10.1145/3534678.3542915)**Neha Gupta, Zhenyu Zhao, Mert Bay et al. 503. **[21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022) ↗](https://doi.org/10.1145/3534678.3542888)**Da Yan, Cátia Pesquita, Carsten Görg et al. 504. **[2nd Workshop on Online and Adaptive Recommender Systems (OARS) ↗](https://doi.org/10.1145/3534678.3542893)**Xiquan Cui, Vachik S. Dave, Yi Su et al. 505. **[3rd IADSS Workshop on Data Science Standards - Hiring, Assessing and Upskilling Data Science Talent ↗](https://doi.org/10.1145/3534678.3542909)**Usama M. Fayyad, Hamit Hamutcu 506. **[8th SIGKDD International Workshop on Mining and Learning from Time Series — Deep Forecasting ↗](https://doi.org/10.1145/3534678.3542889)**Sanjay Purushotham, Jun Huan, Cong Shen et al. 507. **[Accelerated GNN Training with DGL and RAPIDS cuGraph in a Fraud Detection Workflow ↗](https://doi.org/10.1145/3534678.3542603)**Brad Rees, Xiaoyun Wang, Joe Eaton et al. 508. **[Adapting Pretrained Representations for Text Mining ↗](https://doi.org/10.1145/3534678.3542607)**Meng Yu, Jiaxin Huang, Yu Zhang et al. 509. **[Beyond Traditional Characterizations in the Age of Data ↗](https://doi.org/10.1145/3534678.3539510)**Shang‐Hua Teng 510. **[CERAM: Coverage Expansion for Recommendations by Associating Discarded Models ↗](https://doi.org/10.1145/3534678.3539207)**Yoshiki Matsune, Kota Tsubouchi, Nobuhiko Nishio 511. **[DI-2022 ↗](https://doi.org/10.1145/3534678.3542919)**Ani Nenkova, Douglas Burdick, Benjamin Han et al. 512. **[Deep Learning on Graphs ↗](https://doi.org/10.1145/3534678.3542907)**Lingfei Wu, Jian Pei, Jiliang Tang et al. 513. **[DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems ↗](https://doi.org/10.1145/3534678.3542905)**Zhe Jiang, Liang Zhao, Xun S. Zhou et al. 514. **[First Workshop on Content Understanding and Generation for E-commerce ↗](https://doi.org/10.1145/3534678.3542904)**Sumit Negi, Manisha Verma, Rajdeep Hazra Banerjee et al. 515. **[Frontiers of Graph Neural Networks with DIG ↗](https://doi.org/10.1145/3534678.3542624)**Shuiwang Ji, Meng Liu, Yi Liu et al. 516. **[Intrinsic-Motivated Sensor Management ↗](https://doi.org/10.1145/3534678.3539230)**Jingyi Yuan, Yang Weng, Erik Blasch 517. **[Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact) ↗](https://doi.org/10.1145/3534678.3542898)**Pamela Bhattacharya, Jing Gao, Meng Jiang et al. 518. **[Large-Scale Information Extraction under Privacy-Aware Constraints ↗](https://doi.org/10.1145/3534678.3547352)**Rajeev Kumar Gupta, Ranganath Kondapally 519. **[Learning Classifiers under Delayed Feedback with a Time Window Assumption ↗](https://doi.org/10.1145/3534678.3539372)**Shota Yasui, Masahiro Kato 520. **[Machine Learning for Materials Science (MLMS) ↗](https://doi.org/10.1145/3534678.3542902)**Avadhut Sardeshmukh, Sreedhar Reddy, B. P. Gautham et al. 521. **[Minimizing Congestion for Balanced Dominators ↗](https://doi.org/10.1145/3534678.3539371)**Yosuke Mizutani, Annie Staker, Blair D. Sullivan 522. **[RL2: A Call for Simultaneous Representation Learning and Rule Learning for Graph Streams ↗](https://doi.org/10.1145/3534678.3539309)**Qu Liu, Tingjian Ge 523. **[Reducing the Friction for Building Recommender Systems with Merlin ↗](https://doi.org/10.1145/3534678.3542633)**Sara Rabhi, Ronay Ak, Marc Romeijn et al. 524. **[Self-Supervised Augmentation and Generation for Multi-lingual Text Advertisements at Bing ↗](https://doi.org/10.1145/3534678.3539091)**Xiaoyu Kou, Tianqi Zhao, Fan Zhang et al. 525. **[Solar: Science of Entity Loss Attribution ↗](https://doi.org/10.1145/3534678.3539087)**Anshuman Mourya, Prateek Sircar, Anirban Majumder et al. 526. **[TAG: Toward Accurate Social Media Content Tagging with a Concept Graph ↗](https://doi.org/10.1145/3534678.3539077)**Jiuding Yang, Weidong Guo, Bang Liu et al. 527. **[The 5th Artificial Intelligence of Things (AIoT) Workshop ↗](https://doi.org/10.1145/3534678.3542911)**Jian Zhang, Jian Tang, Yiran Chen et al. 528. **[The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022) ↗](https://doi.org/10.1145/3534678.3542897)**Pin‐Yu Chen, Cho‐Jui Hsieh, Bo Li et al. 529. **[The Good, the Bad, and the Outliers ↗](https://doi.org/10.1145/3534678.3539094)**Orit Davidovich, Gheorghe-Teodor Bercea, Segev Wasserkrug 530. **[The KDD 2022 Workshop on Causal Discovery (CD2022) ↗](https://doi.org/10.1145/3534678.3542890)**Thuc Duy Le, Lin Liu, Emre Kıcıman et al. 531. **[The Power of (Statistical) Relational Thinking ↗](https://doi.org/10.1145/3534678.3539216)**Lise C. Getoor 532. **[The Sixth International Workshop on Automation in Machine Learning ↗](https://doi.org/10.1145/3534678.3542887)**Patrick N. Koch, Brett A. Wujek, Jun Liu et al. 533. **[Vexation-Aware Active Learning for On-Menu Restaurant Dish Availability ↗](https://doi.org/10.1145/3534678.3539152)**Jean-François Kagy, Flip R. Korn, Afshin Rostamizadeh et al. 534. **[Visualization in Data Science VDS @ KDD 2022 ↗](https://doi.org/10.1145/3534678.3542903)**Claudia Plant, Nina Hubig, Junming Shao et al. 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