ACM International Conference on Information and Knowledge Management
CIKM
A
CORE rank
CORE rank (raw)
A
Acceptance rate
22.7% (2024 full papers)
Fields of research
Data Management and Data Science · Artificial Intelligence
Papers indexed
10,462
1992–2025
Papers per year
1992852 peak2025
Most published authors
CIKM papers
10,462 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2021 | From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog. | Pranay Dugar, Rajesh Shreedhar Bhat, Asit Sharad Tarsode, Uddipto Dutta, Kunal Banerjee, Anirban Chatterjee, Vijay Srinivas Agneeswaran |
| 2021 | Query-Variant Advertisement Text Generation with Association Knowledge. | Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu |
| 2021 | AdaRNN: Adaptive Learning and Forecasting of Time Series. | Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang |
| 2021 | WorldKG: A World-Scale Geographic Knowledge Graph. | Alishiba Dsouza, Nicolas Tempelmeier, Ran Yu, Simon Gottschalk, Elena Demidova |
| 2021 | DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs. | Carsten Felix Draschner, Claus Stadler, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen |
| 2021 | A graph neural network for fuzzy Twitter graphs. | Georgios Drakopoulos, Eleanna Kafeza, Phivos Mylonas, Spyros Sioutas |
| 2021 | THECOG - Transforms In Behavioral And Affective Computing. | Georgios Drakopoulos, Eleanna Kafeza |
| 2021 | Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection. | Erick Draayer, Huiping Cao, Yifan Hao |
| 2021 | CoST: An annotated Data Collection for Complex Search. | Cheyenne Dosso, Jos G. Moreno, Aline Chevalier, Lynda Tamine |
| 2021 | AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. | Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li |
| 2021 | Simulated Annealing for Emotional Dialogue Systems. | Chengzhang Dong, Chenyang Huang, Osmar Zaane, Lili Mou |
| 2021 | A Deep Learning Framework for Self-evolving Hierarchical Community Detection. | Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He |
| 2021 | Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. | Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang |
| 2021 | Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning. | Kaize Ding, Xuan Shan, Huan Liu |
| 2021 | Aggregation Techniques in Crowdsourcing: Multiple Choice Questions and Beyond. | Djellel Eddine Difallah, Alessandro Checco |
| 2021 | Explanations for Data Repair Through Shapley Values. | Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer |
| 2021 | ETA Prediction with Graph Neural Networks in Google Maps. | Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic |
| 2021 | Deep Adversarial Network Alignment. | Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang |
| 2021 | Understanding Event Predictions via Contextualized Multilevel Feature Learning. | Songgaojun Deng, Huzefa Rangwala, Yue Ning |
| 2021 | GAKG: A Multimodal Geoscience Academic Knowledge Graph. | Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, Chenghu Zhou |
| 2021 | Machine Learning Methods for Detecting Fraud in Online Marketplaces. | Raoul Dekou, Sabljic Savo, Simon Kufeld, Francesca Diana, Ricardo Kawase |
| 2021 | Mitigating Negative Influence Diffusion is Hard. | Gianlorenzo D'Angelo, Mohammad Abouei Mehrizi |
| 2021 | Interpretable and Robust Face Verification. | Preetam Prabhu Srikar Dammu, Srinivasa Rao Chalamala, Ajeet Kumar Singh, Bayya Yegnanarayana |
| 2021 | Explainable and Personalized Privacy Prediction. | Preetam Prabhu Srikar Dammu, Srinivasa Rao Chalamala, Ajeet Kumar Singh |
| 2021 | Does Adversarial Oversampling Help us? | Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass |
3,451–3,475 of 10,462← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*SIGIRACM International Conference on Research and Development in Information Retrieval
- A*ICDEInternational Conference on Data Engineering
- A*KDDACM International Conference on Knowledge Discovery and Data Mining
- A*ICDMIEEE International Conference on Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering
- A*VLDBInternational Conference on Very Large Databases