Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction
Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang
KDD 2023 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
496papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled496100.0%
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TitleTypeTopic
Path-Specific Counterfactual Fairness for Recommender Systems
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Partial-label Learning with Mixed Closed-Set and Open-Set Out-of-Candidate Examples
Shuo He, Lei Feng, Guowu Yang
Parameter-free Spikelet: Discovering Different Length and Warped Time Series Motifs using an Adaptive Time Series Representation
Makoto Imamura, Takaaki Nakamura
PSLOG: Pretraining with Search Logs for Document Ranking
Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan ZHAO
PROSE: Graph Structure Learning via Progressive Strategy
Huizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu
PIER: Permutation-Level Interest-Based End-to-End Re-Ranking Framework in E-Commerce
Xiaowen Shi, Fan Yang, Ze Wang, Xiaoxu Wu, Muzhi Guan, Guogang Liao, Wang Yongkang, Xingxing Wang, Dong Wang
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation
Xuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, shuanglong li, Jingzhou He, Yanjun Ma, Lin Liu
PERT-GNN: Latency Prediction for Microservice-Based Cloud-Native Applications via Graph Neural Networks
Da Sun Handason Tam, Yang Liu, Huanle Xu, Siyue Xie, Wing Cheong Lau
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information
Jianxin Chang, Chenbin Zhang, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai
PDAS: A Practical Distributed ADMM System for Large-Scale Linear Programming Problems at Alipay
Yang Bao, Daohong Jian, Hua Wu
PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text
Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma
PASS: Personalized Advertiser-Aware Sponsored Search
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference
Mayuresh Kunjir, Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran
Optimizing Airbnb Search Journey with Multi-Task Learning
Chun How Tan, Austin Chan, Malay Haldar, Jie Tang, Xin Liu, Mustafa Abdool, Huiji Gao, Liwei He, Sanjeev Katariya
Optimal Dynamic Subset Sampling: Theory and Applications
Lu Yi, Hanzhi Wang, Zhewei Wei
Open-Set Semi-Supervised Text Classification with Latent Outlier Softening
Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao
Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning
Hasan Tercan, Tobias Meisen
Online Level-Wise Hierarchical Clustering
Nicholas Monath, Manzil Zaheer, Andrew McCallum
Online Few-Shot Time Series Classification for Aftershock Detection
Sheng Zhong, Vinicius M.A. Souza, Glenn Eli Baker, Abdullah Mueen