WSDM 2023 2024时空&时序论文总结
WSDM（Web Search and Data Mining）是CCF B类会议，清华A类会议（一年就100来篇怎么能不算顶会！）
WSDM 2024将在2024年3月4日-3月8日在墨西哥梅里达（Mérida, México）举行。目前官网已经放出了所有被录用论文的表单（链接在相关链接给出）。本次会议共收录112篇论文。
WSDM 2023在2023年2月27日到3月3日在新加坡举行，公布的录用结果为，共收到投稿690篇，录用123篇，录用率为17.8%
本文收集WSDM 2023和2024上有关时空数据（包含时空预测（24均为时空预测）、轨迹分类，物流到达时间估计）和时间序列（预测和插补）的相关论文，便于大家交流学习。
时空数据（spatial-temporal data）
1. CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting
**作者：**Chengxin Wang (National University of Singapore)*; Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou)); Gary Tan (National University of Singapore)
**关键词：**因果推断，时空预测
2. CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting
**作者：*Zhengyang Zhou (University of Science and Technology of China); Jiahao Shi (University Of Science And Technology Of China); Hongbo Zhang (University of Science and Technology of China); Qiongyu Chen (University of Science and Technology of China); Xu Wang (University of Science and Technology of China); Hongyang Chen (Zhejiang Lab); Yang Wang (University of Science and Technology of China)
**关键词：**可靠性，不确定性感知，交通预测
3. MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization
**作者：**Dongcheng Zou (Beihang University)*; Senzhang Wang (Central South University); li xuefeng (Beihang university); Hao Peng (Beihang University); Yuandong Wang (Tsinghua University); Chunyang Liu (didichuxing); KEHUA SHENG ( Beijing DiDi Infinity Technology and Development Co., Ltd. ); Bo Zhang (Didi Chuxing)
**关键词：**交通预测，Transformer
接下来均为WSDM 2023（有论文链接）
4. A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework
**作者：*Xu Wang (University of Science and Technology of China); Lianliang Chen (University of Science and Technology of China); Hongbo Zhang (University of Science and Technology of China); Pengkun Wang (University of Science and Technology of China); Zhengyang Zhou (University of Science and Technology of China); Yang Wang (University of Science and Technology of China)
**论文：**https://dl.acm.org/doi/abs/10.1145/3539597.3570396
**关键词：**时空预测，时空动态图
5. Range Restricted Route Recommendation Based on Spatial Keyword
**作者：*Hongwei Tang (Soochow University); Detian Zhang (Soochow University)
**论文：**https://dl.acm.org/doi/abs/10.1145/3539597.3570434
**关键词：**路径推荐
6. S^2TUL: A Semi-Supervised Framework for Trajectory-User Linking
**作者：**Liwei Deng (University of Electronic Science and Technology of China); Hao Sun (Peking University); Yan Zhao (Aalborg University); Shuncheng Liu (University of Electronic Science and Technology of China); Kai Zheng (University of Electronic Science and Technology of China)*‘
**论文：**https://dl.acm.org/doi/abs/10.1145/3539597.3570410
**关键词：**Trajectory-User Linking (TUL) ，轨迹分类，半监督
7. Inductive Graph Transformer for Delivery Time Estimation
**作者：**Xin Zhou (Nanyang Technological University)*; jinglong wang (Alibaba Group); Yong Liu (Nanyang Technological University); xingyu wu (Alibaba Group); Zhiqi Shen (NTU); Cyril Leung (NTU)
**论文：**https://dl.acm.org/doi/abs/10.1145/3539597.3570409
**arXiv：**https://arxiv.org/abs/2211.02863
**代码：**https://github.com/enoche/IGT-WSDM23
**关键词：**物流到达时间估计，图Transformer
时间序列（Time Series）
1. NeuralReconciler for Hierarchical Time Series Forecasting
**作者：*Shiyu Wang (antgroup)
**关键词：**时间序列预测，分层级
2. Continuous-time Autoencoders for Regular and Irregular Time Series Imputation
**作者：*Hyowon Wi (Yonsei University); Yehjin Shin (Yonsei University); Noseong Park (Yonsei University)
关键词：（不规则）时间序列插补
接下来均为WSDM 2023（有论文链接）
3. Telecommunication Traffic Forecasting via Multi-task Learning
**作者：*Xiaochuan Gou (King Abdullah University of Science and Technology); Xiangliang Zhang (University of Notre Dame)
**论文：**https://dl.acm.org/doi/abs/10.1145/3539597.3570440
**关键词：**通信流量预测，多任务学习
4. Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation
**作者：**Xuanhao Chen (University of Electronic Science and Technology of China)*; Liwei Deng (University of Electronic Science and Technology of China); Yan Zhao (Aalborg University); Kai Zheng (University of Electronic Science and Technology of China)
**论文：**https://dl.acm.org/doi/abs/10.1145/3539597.3570371
**关键词：**时间序列异常检测，可解释性，无监督，自编码器
相关链接：
WSDM 2024全部接受论文：https://www.wsdm-conference.org/2024/accepted-papers/
WSDM 2023 全部接收论文：https://www.wsdm-conference.org/2023/program/accepted-papers
SIGMOD 2023 时序&时空数据论文
VLDB 2023 时空&时序论文汇总
ICDE 2023 时空数据论文
KDD 2023 时空数据论文
WWW 2023 时空数据论文
IJCAI 2023 时空数据论文
ECML PKDD 2023 时空数据论文
CIKM 2023 时空数据论文总结
ICLR 2024投稿时空数据论文汇总
NeurIPS 2023 时间序列(Time Series)论文总结
NeurIPS 2023 时空数据论文总结
3 时间序列(Time Series)论文总结](https://zhuanlan.zhihu.com/p/659088918)
NeurIPS 2023 时空数据论文总结