Data Exchange Markets via Utility Balancing
Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala, Govind S. Sankar
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
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
Recommender Transformers with Behavior Pathways
Zhiyu Yao, Xinyang Chen, Sinan Wang, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long
Poster
Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning
Wenhao Yang, Yingchun Jian, Yibo Wang, Shiyin Lu, Lei Shen, Bing Wang, Haihong Tang, Lijun Zhang
Poster
Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners
Xiyang Liu, Chunming Hu, Richong Zhang, Kai Sun, Samuel Mensah, Yongyi Mao
Poster
Game-theoretic Counterfactual Explanation for Graph Neural Networks
Chirag P Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya
Poster
Unlocking the Non-deterministic Computing Power with Memory-Elastic Multi-Exit Neural Networks
Jiaming Huang, Yi Gao, Wei Dong
Poster
Causally Debiased Time-aware Recommendation
Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen
Poster
General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout
An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang
Poster
Graph Contrastive Learning with Cohesive Subgraph Awareness
Yucheng Wu, Leye Wang, Xiao Han, Han-Jia Ye
Poster
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Lio
Poster
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Poster
Unified Uncertainty Estimation for Cognitive Diagnosis Models
Fei Wang, Qi Liu, Enhong Chen, Charles Liu, Zhenya Huang, Jinze Wu, Shijin Wang
Poster
Prior-Free Mechanisms with Welfare Estimates
Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang
Poster
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values
Selahattin Akkas, Ariful Azad
Poster
Fact Embedding through Diffusion Model for Knowledge Graph Completion
Xiao Long, Liansheng Zhuang, Aodi Li, Houqiang Li, Shafei Wang
Poster
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie
Poster
AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention
Kiho Lee, Chaejin Lim, Beomjin Jin, Taeyoung Kim, Hyoungshick Kim
Poster
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang
Poster
Global News Synchrony During the Start of the COVID-19 Pandemic
Xi Chen, Scott A Hale, David Jurgens, Mattia Samory, Ethan Zuckerman, Przemyslaw A. Grabowicz
Poster