TATKC: A Temporal Graph Neural Network for Fast Approximate Temporal Katz Centrality Ranking
Tianming Zhang, Junkai Fang, Zhengyi Yang, Bin Cao, Jing Fan
Poster
WWW 2024 Papers
ACM Web Conference
Decision breakdown
405papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Oral18946.7%
- Poster21653.3%
Browse all papers
TitleTypeTopic
Learning Mixtures of Continuous-Time Markov Chains
Fabian Christian Spaeh, Charalampos Tsourakakis
Poster
Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models
Hongyan Gu, Xinyi Zhang, Jiang Li, Hui Wei, Baiqi Li, Xinli Huang
Poster
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection
Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu
Oral
Cold Start or Hot Start? Robust Slow Start in Congestion Control with A Priori Knowledge for Mobile Web Services
Jia Zhang, Haixuan Tong, Enhuan Dong, Xin Qian, Mingwei Xu, Xiaotian Li, Zili Meng
Poster
Descriptive Kernel Convolution Network with Improved Random Walk Kernel
Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu
Poster
The Double Edged Sword: Identifying Authentication Pages and their Fingerprinting Behavior
Asuman Senol, Alisha Ukani, Dylan J Cutler, Igor Bilogrevic
Poster
Leave No One Behind: Online Self-Supervised Self-distillation for Sequential Recommendation
Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, JUN ZHOU, Lihong Gu, Jinjie Gu
Oral
ReliK: A Reliability Measure for Knowledge Graph Embeddings
Maximilian K Egger, Wenyue Ma, Davide Mottin, Panagiotis Karras, Ilaria Bordino, Francesco Gullo, Aris Anagnostopoulos
Poster
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization
Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian McAuley
Poster
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Oral
Data Exchange Markets via Utility Balancing
Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala, Govind S. Sankar
Poster
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation
Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao
Oral
NPCS: Native Provenance Computation for SPARQL
Zubaria Asma, Daniel Hernandez, Luis Galárraga, Giorgos Flouris, Irini Fundulaki, Katja Hose
Oral
Ask Me in English Instead: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar
Oral
Can Small Language Models be Good Reasoners in Recommender Systems?
Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, JUN ZHOU, Liang Pang, Xiao Wang
Oral
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
Oral
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks
Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang
Poster
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training
Ngoc-Hieu Nguyen, Tuan Anh Nguyen, Tuan Minh Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong
Oral
A Multifaceted Look at Starlink Performance
Nitinder Mohan, Andrew E. Ferguson, Hendrik Cech, Rohan Bose, Prakita Rayyan Renatin, Mahesh K. Marina, Jörg Ott
Oral