KDD 2022: all accepted papers
- 1st ACM SIGKDD Workshop on Ethical Artificial Intelligence ↗Zhao Chen, Feng Chen, Xintao Wu et al.
- 1st Workshop on End-End Customer Journey Optimization ↗Neha Gupta, Zhenyu Zhao, Mert Bay et al.
- 21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022) ↗Da Yan, Cátia Pesquita, Carsten Görg et al.
- 2nd Workshop on Online and Adaptive Recommender Systems (OARS) ↗Xiquan Cui, Vachik S. Dave, Yi Su et al.
- 3rd IADSS Workshop on Data Science Standards - Hiring, Assessing and Upskilling Data Science Talent ↗Usama M. Fayyad, Hamit Hamutcu
- 8th SIGKDD International Workshop on Mining and Learning from Time Series — Deep Forecasting ↗Sanjay Purushotham, Jun Huan, Cong Shen et al.
- Accelerated GNN Training with DGL and RAPIDS cuGraph in a Fraud Detection Workflow ↗Brad Rees, Xiaoyun Wang, Joe Eaton et al.
- Adapting Pretrained Representations for Text Mining ↗Meng Yu, Jiaxin Huang, Yu Zhang et al.
- CERAM: Coverage Expansion for Recommendations by Associating Discarded Models ↗Yoshiki Matsune, Kota Tsubouchi, Nobuhiko Nishio
- DI-2022 ↗Ani Nenkova, Douglas Burdick, Benjamin Han et al.
- Deep Learning on Graphs ↗Lingfei Wu, Jian Pei, Jiliang Tang et al.
- DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems ↗Zhe Jiang, Liang Zhao, Xun S. Zhou et al.
- First Workshop on Content Understanding and Generation for E-commerce ↗Sumit Negi, Manisha Verma, Rajdeep Hazra Banerjee et al.
- Frontiers of Graph Neural Networks with DIG ↗Shuiwang Ji, Meng Liu, Yi Liu et al.
- Intrinsic-Motivated Sensor Management ↗Jingyi Yuan, Yang Weng, Erik Blasch
- Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact) ↗Pamela Bhattacharya, Jing Gao, Meng Jiang et al.
- Large-Scale Information Extraction under Privacy-Aware Constraints ↗Rajeev Kumar Gupta, Ranganath Kondapally
- Learning Classifiers under Delayed Feedback with a Time Window Assumption ↗Shota Yasui, Masahiro Kato
- Machine Learning for Materials Science (MLMS) ↗Avadhut Sardeshmukh, Sreedhar Reddy, B. P. Gautham et al.
- Minimizing Congestion for Balanced Dominators ↗Yosuke Mizutani, Annie Staker, Blair D. Sullivan
- Reducing the Friction for Building Recommender Systems with Merlin ↗Sara Rabhi, Ronay Ak, Marc Romeijn et al.
- Self-Supervised Augmentation and Generation for Multi-lingual Text Advertisements at Bing ↗Xiaoyu Kou, Tianqi Zhao, Fan Zhang et al.
- Solar: Science of Entity Loss Attribution ↗Anshuman Mourya, Prateek Sircar, Anirban Majumder et al.
- TAG: Toward Accurate Social Media Content Tagging with a Concept Graph ↗Jiuding Yang, Weidong Guo, Bang Liu et al.
- The 5th Artificial Intelligence of Things (AIoT) Workshop ↗Jian Zhang, Jian Tang, Yiran Chen et al.
- The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022) ↗Pin‐Yu Chen, Cho‐Jui Hsieh, Bo Li et al.
- The Good, the Bad, and the Outliers ↗Orit Davidovich, Gheorghe-Teodor Bercea, Segev Wasserkrug
- The KDD 2022 Workshop on Causal Discovery (CD2022) ↗Thuc Duy Le, Lin Liu, Emre Kıcıman et al.
- The Power of (Statistical) Relational Thinking ↗Lise C. Getoor
- The Sixth International Workshop on Automation in Machine Learning ↗Patrick N. Koch, Brett A. Wujek, Jun Liu et al.
- Vexation-Aware Active Learning for On-Menu Restaurant Dish Availability ↗Jean-François Kagy, Flip R. Korn, Afshin Rostamizadeh et al.
- Visualization in Data Science VDS @ KDD 2022 ↗Claudia Plant, Nina Hubig, Junming Shao et al.
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