When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification
Wei Xu, Pengkun Wang, Zhe Zhao, Binwu Wang, Xu Wang, Yang Wang
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%
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TitleTypeTopic
GRASP: Hardening Serverless Applications through Graph Reachability Analysis of Security Policies
Isaac Polinsky, Pubali Datta, Adam Bates, William Enck
Poster
The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web
Behzad Ousat, Esteban Schafir, Duc C Hoang, Mohammad Ali Tofighi, Cuong V. Nguyen, Sajjad Arshad, Selcuk Uluagac, Amin Kharraz
Poster
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection
Feiyi Chen, Zhen Qin, Mengchu Zhou, Yingying Zhang, Shuiguang Deng, Lunting Fan, Guansong Pang, Qingsong Wen
Poster
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu
Poster
Not All Asians are the Same: A Disaggregated Approach to Identifying Anti-Asian Racism in Social Media
Fan Wu, Sanyam Lakhanpal, Qian Li, Kookjin Lee, Doowon Kim, Heewon Chae, K. Hazel Kwon
Poster
Automating Website Registration for Studying GDPR Compliance
Karel Kubicek, Jakob Merane, Ahmed Bouhoula, David A. Basin
Poster
A Worldwide View on the Reachability of Encrypted DNS Services
Ruixuan Li, Baojun Liu, Chaoyi Lu, Haixin Duan, Jun Shao
Poster
A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction
Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Yun Lin, Jin Song Dong
Poster
EXGC: Bridging Efficiency and Explainability in Graph Condensation
Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He
Poster
Representation Learning with Large Language Models for Recommendation
Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
Poster
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
Poster
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
Incentive and Dynamic Client Selection for Federated Unlearning
Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato, Jiawen Kang, Xiaoyuan Liu
Poster
Distributed Data Placement and Content Delivery in Web Caches with Non-Metric Access Costs
S. Rasoul Etesami
Poster
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
Bridging the Space Gap: Unifying Geometry Knowledge Graph Embedding with Optimal Transport
Yuhan Liu, Zelin Cao, Gao Xing, Ji Zhang, Rui Yan
Poster
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