ACM Transactions on Knowledge Discovery from Data 2023 — papers
The works of ACM Transactions on Knowledge Discovery from Data published in 2023 that our library holds (publisher: Association for Computing Machinery): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
Most cited papers
- A Survey on Explainable Anomaly Detection ↗Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen132 citations
- ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data ↗Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan et al.76 citations
- Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning ↗Xiao Luo, Wei Ju, Yiyang Gu et al.67 citations
- A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization ↗Yandi Li, Haobo Gao, Yunxuan Gao et al.62 citations
- StructCoder: Structure-Aware Transformer for Code Generation ↗Sindhu Tipirneni, Ming Zhu, Chandan K. A. Reddy56 citations
- Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting ↗Ling Chen, Jiahui Xu, Binqing Wu et al.53 citations
- Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination ↗Zhe Liu, Sukumar Letchmunan47 citations
- A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization ↗Dexian Wang, Tianrui Li, Ping Deng et al.46 citations
- Overlapping Graph Clustering in Attributed Networks via Generalized Cluster Potential Game ↗Hui‐Jia Li, Yuhao Feng, Chengyi Xia et al.45 citations
- Distributed Cooperative Coevolution of Data Publishing Privacy and Transparency ↗Yong-Feng Ge, Elisa Bertino, Hua Wang et al.39 citations
All works of the year (155)
- A Survey on Explainable Anomaly Detection ↗Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen132 citations
- ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data ↗Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan et al.76 citations
- Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning ↗Xiao Luo, Wei Ju, Yiyang Gu et al.67 citations
- A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization ↗Yandi Li, Haobo Gao, Yunxuan Gao et al.62 citations
- StructCoder: Structure-Aware Transformer for Code Generation ↗Sindhu Tipirneni, Ming Zhu, Chandan K. A. Reddy56 citations
- Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting ↗Ling Chen, Jiahui Xu, Binqing Wu et al.53 citations
- Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination ↗Zhe Liu, Sukumar Letchmunan47 citations
- A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization ↗Dexian Wang, Tianrui Li, Ping Deng et al.46 citations
- Overlapping Graph Clustering in Attributed Networks via Generalized Cluster Potential Game ↗Hui‐Jia Li, Yuhao Feng, Chengyi Xia et al.45 citations
- Distributed Cooperative Coevolution of Data Publishing Privacy and Transparency ↗Yong-Feng Ge, Elisa Bertino, Hua Wang et al.39 citations
- Multi-Label Feature Selection Via Adaptive Label Correlation Estimation ↗Zan Zhang, Zhe Zhang, Jialu Yao et al.39 citations
- Graph Time-series Modeling in Deep Learning: A Survey ↗Hongjie Chen, Hoda Eldardiry38 citations
- Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies ↗Yao Wu, Jian Cao, Guandong Xu35 citations
- Review of Clustering Methods for Functional Data ↗Mimi Zhang, Andrew C. Parnell34 citations
- A Survey on Bid Optimization in Real-Time Bidding Display Advertising ↗Weitong Ou, Bo Chen, Xinyi Dai et al.32 citations
- Graph Mining for Cybersecurity: A Survey ↗Bo Yan, Cheng Hong Yang, Chuan Shi et al.32 citations
- FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs ↗Taolin Zhang, Chengyuan Mai, Yaomin Chang et al.31 citations
- Graph Domain Adaptation: A Generative View ↗Ruichu Cai, Fengzhu Wu, Zijian Li et al.26 citations
- Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks ↗Wei Chen, Chao Huang, Yanwei Yu et al.26 citations
- Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation ↗Shaowei Jiang, Wei He, Lizhen Cui et al.25 citations
- Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams ↗Ben Halstead, Yun Sing Koh, Patricia Riddle et al.23 citations
- Neighborhood Weighted Voting-Based Noise Correction for Crowdsourcing ↗Huiru Li, Liangxiao Jiang, Siqing Xue23 citations
- A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction ↗Qiuyue Zhang, Yunfeng Zhang, Xunxiang Yao et al.22 citations
- DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction ↗He Li, Duo Jin, Xuejiao Li et al.22 citations
- Adaptive Neighbor Graph Aggregated Graph Attention Network for Heterogeneous Graph Embedding ↗Kai-Biao Lin, Jin-Po Chen, Chen Ruicong et al.21 citations
See all 155 papers in ACM Transactions on Knowledge Discovery from Data 2023 — papers →
Works with our summary in our library (1)
- Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondACM Transactions on Knowledge Discovery from DataJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 814 citations
Top topics
Language models & pretraining (1)
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
🧑🔬Bing Yin1 work here · 814 citations🧑🔬Haoming Jiang1 work here · 814 citations🧑🔬Hongye Jin1 work here · 814 citations🧑🔬Jingfeng Yang1 work here · 814 citations🧑🔬Ruixiang Tang1 work here · 814 citations🧑🔬Xia Hu1 work here · 814 citations🧑🔬Xiaotian Han1 work here · 814 citations
Top institutions
🏢AmazonSeattle ·
United States1 work here🎓Rice UniversityHouston ·
United States1 work here🎓Texas A&M UniversityCollege Station ·
United States1 work here
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