ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup
Yongxin Xu, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
KDD 2024 论文列表
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection
Junyou Zhu, Chao Gao, Ze Yin, Xianghua Li, Juergen Kurths
Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models
Zhibo Hu, Chen Wang, Yanfeng Shu, Hye-young Paik, Liming Zhu
Promoting Fairness and Priority in Selecting k-Winners Using IRV
Md Mouinul Islam, Soroush Vahidi, Baruch Schieber, Senjuti Basu Roy
Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology
Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin
Probabilistic Attention for Sequential Recommendation
Yuli Liu, Christian Walder, Lexing Xie, Yiqun Liu
ProCom: A Few-shot Targeted Community Detection Algorithm
Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang
Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation
Qingyao Li, Wei Xia, Li'ang Yin, Jiarui Jin, Yong Yu
Privacy-Preserved Neural Graph Databases
Qi Hu, Haoran Li, Jiaxin Bai, Zihao Wang, Yangqiu Song
Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning
Yidan Xing, Zhenzhe Zheng, Fan Wu
Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space
Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li
Predicting Cascading Failures with a Hyperparametric Diffusion Model
Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan
Pre-trained KPI Anomaly Detection Model Based on Disentangled Transformer
Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei
Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation
Meng Qin, Chaorui Zhang, Yu Gao, Weixi Zhang, Dit-Yan Yeung
Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation
Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip Yu
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks
Wenying Duan, Tianxiang Fang, Hong Rao, Xiaoxi He
Practical Single Domain Generalization via Training-time and Test-time Learning
Shuai Yang, Zhen Zhang, Lichuan Gu
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph
Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao