International World Wide Web Conference

WWW

CORE rank

CORE rank (raw)

Acceptance rate

20.2% (2024 research track)

Fields of research

Distributed Computing and Systems Software · Data Management and Data Science

Papers indexed

11,939

1995–2026

Best Systems and Networking conferences Best Data Science and Information Retrieval conferences

Papers per year

19951,191 peak2026

Most published authors

WWW papers

11,939 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2023	TAPP: Defining standard provenance information for clinical research data and workflows - Obstacles and opportunities.	Kerstin Gierend, Judith A. H. Wodke, Sascha Genehr, Robert Gtt, Ron Henkel, Frank Krger, Markus Mandalka, Lea Michaelis, Alexander Scheuerlein, Max Schrder, Atinkut Zeleke, Dagmar Waltemath
2023	PyPoll: A python library automating mining of networks, discussions and polarization on Twitter.	Dimitrios Panteleimon Giakatos, Pavlos Sermpezis, Athena Vakali
2023	Class Cardinality Comparison as a Fermi Problem.	Shrestha Ghosh, Simon Razniewski, Gerhard Weikum
2023	Learning Robust Multi-Modal Representation for Multi-Label Emotion Recognition via Adversarial Masking and Perturbation.	Shiping Ge, Zhiwei Jiang, Zifeng Cheng, Cong Wang, Yafeng Yin, Qing Gu
2023	Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks.	Nikita Gautam, David Shumway, Megan Kowalcyk, Sarthak Khanal, Doina Caragea, Cornelia Caragea, Hande McGinty, Samuel Dorevitch
2023	Retrieving false claims on Twitter during the Russia-Ukraine conflict.	Valerio La Gatta, Chiyu Wei, Luca Luceri, Francesco Pierri, Emilio Ferrara
2023	Do bridges dream of water pollutants? Towards DreamsKG, a knowledge graph to make digital access for sustainable environmental assessment come true.	Daro Garigliotti, Johannes Bjerva, Finn rup Nielsen, Annika Butzbach, Ivar Lyhne, Lone Krnv, Katja Hose
2023	Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum.	Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
2023	Pairwise-interactions-based Bayesian Inference of Network Structure from Information Cascades.	Chao Gao, Yuchen Wang, Zhen Wang, Xianghua Li, Xuelong Li
2023	Web 3.0: The Future of Internet.	Wensheng Gan, Zhenqiang Ye, Shicheng Wan, Philip S. Yu
2023	Visualizing How-Provenance Explanations for SPARQL Queries.	Luis Galrraga, Daniel Hernndez, Anas Katim, Katja Hose
2023	Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.	Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023	Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs.	Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He
2023	Understanding the Impact of Label Skewness and Optimization on Federated Learning for Text Classification.	Sumam Francis, Kanimozhi Uma, Marie-Francine Moens
2023	Analyzing the Communication Clusters in Datacenters✱.	Klaus-Tycho Foerster, Thibault Marette, Stefan Neumann, Claudia Plant, Ylli Sadikaj, Stefan Schmid, Yllka Velaj
2023	Towards Building a Mobile App for People on the Spectrum.	Victoria Firsanova
2023	Tutorials at The Web Conference 2023.	Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2023	Online Bidding Algorithms for Return-on-Spend Constrained Advertisers✱.	Zhe Feng, Swati Padmanabhan, Di Wang
2023	GROUP: An End-to-end Multi-step-ahead Workload Prediction Approach Focusing on Workload Group Behavior.	Binbin Feng, Zhijun Ding
2023	Extending Actor Models in Data Spaces.	Hendrik Meyer zum Felde, Maarten Kollenstart, Thomas Bellebaum, Simon Dalmolen, Gerd Brost
2023	Knowledge Graph-Enhanced Neural Query Rewriting.	Shahla Farzana, Qunzhi Zhou, Petar Ristoski
2023	Claim Extraction and Dynamic Stance Detection in COVID-19 Tweets.	Noushin Salek Faramarzi, Fateme Hashemi Chaleshtori, Hossein Shirazi, Indrakshi Ray, Ritwik Banerjee
2023	AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation.	Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen
2023	Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation.	Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023	MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rules.	Huang Fang, Yang Liu, Yunfeng Cai, Mingming Sun

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Comparable venues

Other A*/A conferences filed under the same field of research.