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WWW 2024: all accepted papers

786 papers · page 1 of 8 · the most cited first · ← WWW 2024

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  1. Representation Learning with Large Language Models for Recommendation ↗Xubin Ren, Wei Wei, Lianghao Xia et al.232 citations
  2. A Multifaceted Look at Starlink Performance ↗Nitinder Mohan, Andrew E. Ferguson, Hendrik L. Cech et al.168 citations
  3. MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models ↗Kailai Yang, Tianlin Zhang, Ziyan Kuang et al.167 citations
  4. Is Cosine-Similarity of Embeddings Really About Similarity? ↗Harald Steck, Chaitanya Ekanadham, Nathan Kallus137 citations
  5. UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting ↗Xu Liu, Junfeng Hu, Yuan Li et al.108 citations
  6. Collaborative Large Language Model for Recommender Systems ↗Yaochen Zhu, Liang Wu, Qi Sheng Guo et al.100 citations
  7. Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective ↗Zexin Wang, Changhua Pei, Minghua Ma et al.100 citations
  8. AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems ↗Junjie Zhang, Yupeng Hou, Ruobing Xie et al.89 citations
  9. Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries ↗Yiqiao Jin, Mohit Chandra, Gaurav Verma et al.75 citations
  10. Harnessing Large Language Models for Text-Rich Sequential Recommendation ↗Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu et al.75 citations
  11. UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web ↗Yibo Yan, Haomin Wen, Siru Zhong et al.71 citations
  12. Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection ↗Youngeun Nam, Susik Yoon, Yooju Shin et al.65 citations
  13. Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning ↗Jun Hu, Wenwen Xia, Xiaolu Zhang et al.65 citations
  14. Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom ↗Bo Wang, Jing Ma, Hongzhan Lin et al.65 citations
  15. RecDCL: Dual Contrastive Learning for Recommendation ↗Dan Zhang, Yangli‐ao Geng, Wenwen Gong et al.65 citations
  16. ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation ↗Jianghao Lin, Rong Shan, Chenxu Zhu et al.63 citations
  17. Large Language Model based Long-tail Query Rewriting in Taobao Search ↗W. Peng, Guiyang Li, Yue Jiang et al.62 citations
  18. Macro Graph Neural Networks for Online Billion-Scale Recommender Systems ↗Hao Chen, Yuanchen Bei, Qijie Shen et al.57 citations
  19. GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks ↗Mengmei Zhang, Mingwei Sun, Peng Wang et al.56 citations
  20. Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models ↗Hongzhan Lin, Ziyang Luo, Wei Guang Gao et al.56 citations
  21. Large Language Models as Data Augmenters for Cold-Start Item Recommendation ↗Jianling Wang, Haokai Lu, James Caverlee et al.53 citations
  22. MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems ↗Lecheng Zheng, Zhengzhang Chen, Jingrui He et al.49 citations
  23. Item-side Fairness of Large Language Model-based Recommendation System ↗Meng Jiang, Keqin Bao, Jizhi Zhang et al.47 citations
  24. Can Small Language Models be Good Reasoners for Sequential Recommendation? ↗Yuling Wang, Changxin Tian, Binbin Hu et al.46 citations
  25. Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation ↗Bo Yan, Yang Cao, Haoyu Wang et al.46 citations
  26. BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework ↗Zhen Qin, Xueqiang Yan, MengChu Zhou et al.45 citations
  27. Can GNN be Good Adapter for LLMs? ↗Xuanwen Huang, Kaiqiao Han, Yang Yang et al.45 citations
  28. Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models ↗Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng et al.45 citations
  29. ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction ↗Jianghao Lin, Bo Chen, Hangyu Wang et al.44 citations
  30. Distributionally Robust Graph-based Recommendation System ↗Bohao Wang, Jiawei Chen, Changdong Li et al.42 citations
  31. Trident: A Universal Framework for Fine-Grained and Class-Incremental Unknown Traffic Detection ↗Ziming Zhao, Zhaoxuan Li, Zhuoxue Song et al.42 citations
  32. Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation ↗Yongqiang Han, Hao Wang, Kefan Wang et al.40 citations
  33. Blockchain Censorship ↗Anton Wahrstätter, Jens Ernstberger, Aviv Yaish et al.39 citations
  34. Linear-Time Graph Neural Networks for Scalable Recommendations ↗Jiahao Zhang, Rui Xue, Wenqi Fan et al.39 citations
  35. Metacognitive Retrieval-Augmented Large Language Models ↗Yujia Zhou, Zheng Liu, Jiajie Jin et al.38 citations
  36. HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks ↗Yihong Ma, Ning Yan, Jiayu Li et al.37 citations
  37. LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty ↗Zhen Zhang, Yuhua Zhao, Hang Gao et al.37 citations
  38. PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning ↗Wei Wei, Jiabin Tang, Lianghao Xia et al.37 citations
  39. Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks ↗Shicheng Xu, Liang Pang, Huawei Shen et al.36 citations
  40. MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs ↗Xingtong Yu, Chang Zhou, Yuan Fang et al.35 citations
  41. On the Feasibility of Simple Transformer for Dynamic Graph Modeling ↗Yuxia Wu, Yuan Fang, Lizi Liao35 citations
  42. Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions ↗Wujiang Xu, Qitian Wu, Runzhong Wang et al.35 citations
  43. Graph Out-of-Distribution Generalization via Causal Intervention ↗Qitian Wu, Fan Nie, Chenxiao Yang et al.34 citations
  44. Intelligent Model Update Strategy for Sequential Recommendation ↗Zheqi Lv, Wenqiao Zhang, Zhengyu Chen et al.34 citations
  45. Challenging Low Homophily in Social Recommendation ↗Wei Jiang, Xinyi Gao, Guandong Xu et al.33 citations
  46. Heterogeneous Subgraph Transformer for Fake News Detection ↗Yuchen Zhang, Xiaoxiao Ma, Jia Xin Wu et al.33 citations
  47. Interpretable Knowledge Tracing with Multiscale State Representation ↗Jianwen Sun, Fenghua Yu, Qian Wan et al.33 citations
  48. ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning ↗Xueying Han, Susu Cui, Jian Qin et al.32 citations
  49. DenseFlow: Spotting Cryptocurrency Money Laundering in Ethereum Transaction Graphs ↗Dan Lin, Jiajing Wu, Yunmei Yu et al.32 citations
  50. MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection ↗Yupeng Li, Haorui He, Jin Rong Bai et al.32 citations
  51. PMG : Personalized Multimodal Generation with Large Language Models ↗Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao et al.32 citations
  52. Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation ↗Liang Qu, Wei Yuan, Ruiqi Zheng et al.32 citations
  53. Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models ↗Chenhan Yuan, Qianqian Xie, Jimin Huang et al.31 citations
  54. Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation ↗Xuansheng Wu, Huachi Zhou, Yucheng Shi et al.31 citations
  55. Fast Graph Condensation with Structure-based Neural Tangent Kernel ↗Lin Wang, Wenqi Fan, Jiatong Li et al.31 citations
  56. FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices ↗Haozhao Wang, Yabo Jia, Meng Zhang et al.31 citations
  57. Scalable and Effective Generative Information Retrieval ↗Hansi Zeng, Chen Luo, Bowen Jin et al.31 citations
  58. DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy ↗Qiuchen Zhang, H. Lee, Jing Ma et al.30 citations
  59. Ensemble Pretrained Models for Multimodal Sentiment Analysis using Textual and Video Data Fusion ↗Zhicheng Liu, Ali Braytee, Ali Anaissi et al.30 citations
  60. Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems ↗Shuo Liu, Junhao Shen, Hong Qian et al.30 citations
  61. Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion ↗Jinheon Baek, Nirupama Chandrasekaran, Silviu Cucerzan et al.30 citations
  62. Multimodal Conditioned Diffusion Model for Recommendation ↗Haokai Ma, Yimeng Yang, Lei Meng et al.30 citations
  63. QUIC is not Quick Enough over Fast Internet ↗Xumiao Zhang, Shuowei Jin, Yi He et al.30 citations
  64. SPRING: Improving the Throughput of Sharding Blockchain via Deep Reinforcement Learning Based State Placement ↗Pengze Li, Mingxuan Song, Mingzhe Xing et al.30 citations
  65. Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations ↗Qingqing Long, Zheng Fang, Chen Fang et al.30 citations
  66. GraphPro: Graph Pre-training and Prompt Learning for Recommendation ↗Yuhao Yang, Lianghao Xia, Da Luo et al.29 citations
  67. HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection ↗Haiping Ma, Yong Yang, Chuan Qin et al.29 citations
  68. Stable-Sketch: A Versatile Sketch for Accurate, Fast, Web-Scale Data Stream Processing ↗Weihe Li, Paul Patras29 citations
  69. TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds ↗Karan Vombatkere, Sepehr Mousavi, Savvas Zannettou et al.29 citations
  70. Co-clustering for Federated Recommender System ↗Xinrui He, Shuo Liu, Jacky Keung et al.28 citations
  71. Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction ↗Qi Sun, Kun Huang, Xiaocui Yang et al.28 citations
  72. NoteLLM: A Retrievable Large Language Model for Note Recommendation ↗Chao Zhang, Shiwei Wu, Haoxin Zhang et al.28 citations
  73. When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions ↗Chunxu Zhang, Guodong Long, Tianyi Zhou et al.28 citations
  74. Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation ↗Peilin Zhou, You-Liang Huang, Yueqi Xie et al.27 citations
  75. More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning ↗Zhipeng Ma, Zheyan Tu, Xinhai Chen et al.27 citations
  76. Poisoning Federated Recommender Systems with Fake Users ↗Ming Yin, Yichang Xu, Minghong Fang et al.27 citations
  77. Generative News Recommendation ↗Shen Gao, Jiabao Fang, Quan Tu et al.26 citations
  78. Incentive and Dynamic Client Selection for Federated Unlearning ↗Yijing Lin, Zhipeng Gao, Hongyang Du et al.26 citations
  79. BoostER: Leveraging Large Language Models for Enhancing Entity Resolution ↗Huahang Li, Shuangyin Li, Fei Hao et al.25 citations
  80. Debiasing Recommendation with Personal Popularity ↗Wentao Ning, Reynold C. K. Cheng, Xiao Yan et al.25 citations
  81. Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training ↗Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Anh Nguyen et al.25 citations
  82. Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning ↗Shuyao Wang, Yongduo Sui, Chao Wang et al.25 citations
  83. User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation ↗Weiming Liu, Chaochao Chen, Xinting Liao et al.25 citations
  84. Dual Box Embeddings for the Description Logic EL ++ ↗Mathias Jackermeier, Jiaoyan Chen, Ian Horrocks24 citations
  85. Knowledge Enhanced Multi-intent Transformer Network for Recommendation ↗Ding Zou, Wei Wei, Feida Zhu et al.24 citations
  86. Learning to Rewrite Prompts for Personalized Text Generation ↗Cheng Li, Mingyang Zhang, Qiaozhu Mei et al.24 citations
  87. MSynFD: Multi-hop Syntax Aware Fake News Detection ↗Xiao Qing Liang, Qi Zhang, Chongyang Shi et al.24 citations
  88. Unmasking the Web of Deceit: Uncovering Coordinated Activity to Expose Information Operations on Twitter ↗Luca Luceri, Valeria Pantè, Keith Burghardt et al.24 citations
  89. Content Moderation on Social Media in the EU: Insights From the DSA Transparency Database ↗Chiara Drolsbach, Nicolas Pröllochs23 citations
  90. Information Retrieval Meets Large Language Models ↗Zheng Liu, Yujia Zhou, Yutao Zhu et al.23 citations
  91. MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations ↗Yang Xu, Gao Cong, Lei Zhu et al.23 citations
  92. Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners ↗Xiyang Liu, Chunming Hu, Richong Zhang et al.23 citations
  93. Question Difficulty Consistent Knowledge Tracing ↗Guimei Liu, Huijing Zhan, Jung‐Jae Kim23 citations
  94. Decoding YouTube's Recommendation System: A Comparative Study of Metadata and GPT-4 Extracted Narratives ↗Mayor Inna Gurung, Md Monoarul Islam Bhuiyan, Ahmed Al‐Taweel et al.22 citations
  95. E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series ↗Zhichen Lai, Huan Li, Dalin Zhang et al.22 citations
  96. EXGC: Bridging Efficiency and Explainability in Graph Condensation ↗Junfeng Fang, Xinglin Li, Yongduo Sui et al.22 citations
  97. GNNShap: Scalable and Accurate GNN Explanation using Shapley Values ↗Selahattin Akkas, Ariful Azad22 citations
  98. GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning ↗Yun Zhu, Yaoke Wang, Haizhou Shi et al.22 citations
  99. Mechanism Design for Large Language Models ↗Paul Dütting, Vahab Mirrokni, Renato Paes Leme et al.22 citations
  100. Toward Mitigating Misinformation and Social Media Manipulation in LLM Era ↗Y Zhang, Karishma Sharma, Lun Du et al.22 citations

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