MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
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 with Kernel Dependence Maximization for Social Recommendation
Xuelian Ni, Fei Xiong, Yu Zheng, Liang Wang
Oral
Adversarial-Enhanced Causal Multi-Task Framework for Debiasing Post-Click Conversion Rate Estimation
Xinyue Zhang, Cong Huang, Kun Zheng, Hongzu Su, Tianxu Ji, Wei Wang, Hongkai Qi, Jingjing Li
Poster
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy
Qiuchen Zhang, Hong kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong
Oral
Incentive and Dynamic Client Selection for Federated Unlearning
Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato, Jiawen Kang, Xiaoyuan Liu
Poster
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang
Oral
Distributed Data Placement and Content Delivery in Web Caches with Non-Metric Access Costs
S. Rasoul Etesami
Poster
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations
QingqingLong, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou
Oral
Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm
Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su
Poster
A Quasi-Wasserstein Loss for Learning Graph Neural Networks
Minjie Cheng, Hongteng Xu
Poster
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective.
Yuchen Yan, Peiyan Zhang, Zheng Fang, QingqingLong
Oral
Bridging the Space Gap: Unifying Geometry Knowledge Graph Embedding with Optimal Transport
Yuhan Liu, Zelin Cao, Gao Xing, Ji Zhang, Rui Yan
Poster
Learning to Rewrite Prompts for Personalized Text Generation
Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky
Oral
ARES: Predictable Traffic Engineering under Controller Failures in SD-WANs
Songshi Dou, Li Qi, Zehua Guo
Poster
VilLain: Self-Supervised Learning on Hypergraphs without Features via Virtual Label Propagation
Geon Lee, Soo Yong Lee, Kijung Shin
Poster
Long-term Off-Policy Evaluation and Learning
Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas
Poster
Medusa: Unveil Memory Exhaustion DoS Vulnerabilities in Protocol Implementations
Zhengjie Du, Yuekang Li, Yaowen Zheng, Xiaohan Zhang, Cen Zhang, Yi Liu, Sheikh Mahbub Habib, Xinghua Li, Linzhang Wang, Yang Liu, Bing Mao
Oral
Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework
Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying kong, Han Li, Kun Gai
Poster
Debiasing Recommendation with Personal Popularity
Wentao Ning, Reynold Cheng, Xiao Yan, Ben Kao, Nan Huo, Nur Al Hasan Haldar, Bo Tang
Oral
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
Poster