📰 WWW 2022 — accepted papers

WWW 2022 is the 2022 edition of the ACM Web Conference (WWW). OpenAlex lists 367 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning ↗Zihan Lin, Changxin Tian, Yupeng Hou et al.572 citations
2. ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification ↗Xinjie Lin, Gang Xiong, Gaopeng Gou et al.566 citations
3. Intent Contrastive Learning for Sequential Recommendation ↗Yongjun Chen, Zhiwei Liu, Jia Li et al.410 citations
4. Filter-enhanced MLP is All You Need for Sequential Recommendation ↗Kun Zhou, Hui Yu, Wayne Xin Zhao et al.401 citations
5. Cross-modal Ambiguity Learning for Multimodal Fake News Detection ↗Yixuan Chen, Dongsheng Li, Peng Zhang et al.370 citations
6. KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction ↗Xiang Chen, Ningyu Zhang, Xin Yu Xie et al.364 citations
7. SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation ↗Jun Xia, Lirong Wu, Jintao Chen et al.289 citations
8. Towards Unsupervised Deep Graph Structure Learning ↗Yixin Liu, Yu Zheng, Daokun Zhang et al.208 citations
9. Sequential Recommendation via Stochastic Self-Attention ↗Ziwei Fan, Zhiwei Liu, Yu Wang et al.196 citations
10. Federated Unlearning via Class-Discriminative Pruning ↗Junxiao Wang, Song Guo, Xin Nan Xie et al.152 citations

All accepted papers (367)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning ↗Zihan Lin, Changxin Tian, Yupeng Hou et al.572 citations
2. ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification ↗Xinjie Lin, Gang Xiong, Gaopeng Gou et al.566 citations
3. Intent Contrastive Learning for Sequential Recommendation ↗Yongjun Chen, Zhiwei Liu, Jia Li et al.410 citations
4. Filter-enhanced MLP is All You Need for Sequential Recommendation ↗Kun Zhou, Hui Yu, Wayne Xin Zhao et al.401 citations
5. Cross-modal Ambiguity Learning for Multimodal Fake News Detection ↗Yixuan Chen, Dongsheng Li, Peng Zhang et al.370 citations
6. KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction ↗Xiang Chen, Ningyu Zhang, Xin Yu Xie et al.364 citations
7. SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation ↗Jun Xia, Lirong Wu, Jintao Chen et al.289 citations
8. Towards Unsupervised Deep Graph Structure Learning ↗Yixin Liu, Yu Zheng, Daokun Zhang et al.208 citations
9. Sequential Recommendation via Stochastic Self-Attention ↗Ziwei Fan, Zhiwei Liu, Yu Wang et al.196 citations
10. Federated Unlearning via Class-Discriminative Pruning ↗Junxiao Wang, Song Guo, Xin Nan Xie et al.152 citations
11. TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection ↗Sijia Li, Gaopeng Gou, Chang Liu et al.146 citations
12. H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections ↗Fengzhao Shi, Yanan Cao, Yanmin Shang et al.140 citations
13. Knowledge Graph Reasoning with Relational Digraph ↗Yongqi Zhang, Quanming Yao130 citations
14. UniParser: A Unified Log Parser for Heterogeneous Log Data ↗Yudong Liu, Xu Zhang, Shilin He et al.125 citations
15. Conditional Generation Net for Medication Recommendation ↗Rui Mei Wu, Zhaopeng Qiu, Jiacheng Jiang et al.123 citations
16. EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks ↗Yushun Dong, Ninghao Liu, Brian A. Jalaian et al.123 citations
17. Disentangling Long and Short-Term Interests for Recommendation ↗Yu Zheng, Chen Gao, Jianxin Chang et al.121 citations
18. Rumor Detection on Social Media with Graph Adversarial Contrastive Learning ↗Tiening Sun, Qian Zhong, Sujun Dong et al.117 citations
19. Evidence-aware Fake News Detection with Graph Neural Networks ↗Weizhi Xu, Junfei Wu, Qiang Liu et al.115 citations
20. Contrastive Learning for Knowledge Tracing ↗Wonsung Lee, Jaeyoon Chun, Youngmin Lee et al.113 citations
21. An Empirical Investigation of Personalization Factors on TikTok ↗Maximilian Boeker, Aleksandra Urman112 citations
22. AUC-oriented Graph Neural Network for Fraud Detection ↗Mengda Huang, Yang Liu, Xiang Ao et al.106 citations
23. Recommendation Unlearning ↗Chong Chen, Fei Sun, Min Zhang et al.106 citations
24. Causal Representation Learning for Out-of-Distribution Recommendation ↗Wenjie Wang, Xinyu Lin, Fuli Feng et al.105 citations
25. Domain Adaptive Fake News Detection via Reinforcement Learning ↗Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu et al.101 citations

See all 367 papers in WWW 2022 — accepted papers →

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Extracting Cultural Commonsense Knowledge at ScaleACM Web Conference (WWW)Tuan-Phong Nguyen, Simon Razniewski, Aparna Varde, et al.2022 · 90 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🧮Reasoning (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Montclair State UniversityMontclair · United States1 work here🔬Max Planck Institute for InformaticsSaarbrücken · Germany1 work here

works and citations from OpenAlex and our library.

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