Improving Robustness of Hyperbolic Neural Networks by Lipschitz Analysis
Yuekang Li, Yidan Mao, Yifei Yang, Dongmian Zou
KDD 2024 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
562papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled562100.0%
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TitleTypeTopic
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback
Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin
Improving Ego-Cluster for Network Effect Measurement
Wentao Su, Weitao Duan
Improved Active Covering via Density-Based Space Transformation
Mohammadhossein Bateni, Hossein Esfandiari, Samira HosseinGhorban, Alipasha Montaseri
Image Similarity Using an Ensemble of Context-Sensitive Models
Zukang Liao, Min Chen
ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving
Rongqing Li, Changsheng Li, Yuhang Li, Hanjie Li, Yi Chen, Ye Yuan, Guoren Wang
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks
Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space
Menglin Yang, Harshit Verma, Ce Zhang, Jiahong Liu, Irwin King, Rex Ying
Hyper-Local Deformable Transformers for Text Spotting on Historical Maps
Yijun Lin, Yao-Yi Chiang
How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge Graphs
Hanhua Xiao, Yuchen Li, Yanhao Wang, Panagiotis Karras, Kyriakos Mouratidis, Natalia Rozalia Avlona
How Powerful is Graph Filtering for Recommendation
Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates
Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee
Hierarchical Linear Symbolized Tree-Structured Neural Processes
Jin yang Tai, Yi ke Guo
Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems
Yu Sha, Shuiping Gou, Bo Liu, Johannes Faber, Ningtao Liu, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
HiGPT: Heterogeneous Graph Language Model
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
Zhuoning Guo, Duanyi YAO, Qiang Yang, Hao Liu
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction
Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
Hate Speech Detection with Generalizable Target-aware Fairness
Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin