SIGMA 实验室已发表论文、研究方向、论文链接与源代码索引。
本仓库用于维护实验室已发表论文的 paper 与 code 索引。
所有 code 链接默认指向实验室账号下 fork 或维护的源码仓库。
| 方向 | 主方向论文数 |
|---|---|
| Spatiotemporal Data Mining | 26 |
| Graph Neural Networks | 20 |
| Graph Data Mining | 4 |
| Multivariate Time Series Forecasting | 4 |
| Edge Computing | 2 |
| Data Mining | 7 |
| AI4DB | 1 |
| title | year | venue | paper | code |
|---|---|---|---|---|
| ST-Imputer: Multivariate dependency-aware diffusion network with physics guidance for spatiotemporal imputation | 2026 | Information Fusion (JCR Q1, CAAI A) | Paper | Code |
| Trajectory Similarity Hash Learning with Spatio-Temporal GRU | 2026 | IEEE Transactions on Big Data (JCR Q1, CCF C) | Paper | Code |
| FlightDiff: a dual-constraint guided two-phase diffusion framework for accurate flight prediction | 2026 | GeoInformatica (CCF B) | Paper | TODO |
| Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning | 2026 | Proceedings of the 40th AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=4167/23680=17.6%) | Paper | Code |
| TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space | 2026 | Proceedings of the 40th AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=4167/23680=17.6%) | Paper | Code |
| MA^2Traj: Diffusion network with multi-attribute aggregation for trajectory generation | 2025 | GeoInformatica (CCF B) | Paper | TODO |
| Efficiently Counting Four-Node Motifs in Large-Scale Temporal Graphs | 2025 | The VLDB Jounral (CCF A) | Paper | TODO |
| Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data | 2025 | Proceedings of Thirty-Ninth AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=3032/12957=23.4%, Oral) | Paper | Code |
| Scalable Trajectory-User Linking with Dual-Stream Representation Networks | 2025 | Proceedings of Thirty-Ninth AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=3032/12957=23.4%, Oral) | Paper | Code |
| Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting | 2025 | Proceedings of Thirty-Ninth AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=3032/12957=23.4%, Oral) | Paper | Code |
| Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation | 2025 | Proceedings of Thirty-Ninth AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=3032/12957=23.4%, Oral) | Paper | Code |
| Self-Supervised Trajectory Representation Learning with Multi-Scale Spatio-Temporal Feature Exploration | 2025 | Proceedings of 41th IEEE International Conference on Data Engineering (CCF A, acceptance rate=300/1465=20.5%) | Paper | Code |
| MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation | 2024 | ACM Transactions on Information Systems (CCF A) | Paper | Code |
| Skillful prediction of Indian monsoon intraseasonal precipitation using Central Indian Ocean mode and machine learning | 2024 | Geophysical Research Letters (JCR Q1) | Paper | TODO |
| Adaptive Spatio-Temporal Graph Recurrent Network for Sea Surface Temperature Forecasting | 2024 | IEEE Transactions on Geoscience and Remote Sensing (CAAI A) | Paper | TODO |
| Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks | 2024 | ACM Transactions on Knowledge Discovery from Data (CCF B) | Paper | Code |
| Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank | 2023 | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CCF B, acceptance rate=354/1472=24%) | Paper | Code |
| Self-supervised contrastive representation learning for large-scale trajectories | 2023 | Future Generation Computer Systems (JCR Q1, CCF C) | Paper | TODO |
| PreCLN: Pretrained-based Contrastive Learning Network for Vehicle Trajectory Prediction | 2023 | World Wide Web Journal (CCF B) | Paper | TODO |
| Mutual Distillation Learning Network for Trajectory-User Linking | 2022 | Proceedings of the 31st International Joint Conference on Artificial Intelligence (CCF A, acceptance rate=681/4535=15%) | Paper | Code |
| Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation | 2022 | Data Science and Engineering (CCF C) | Paper | TODO |
| Citywide Traffic Volume Inference with Surveillance Camera Records | 2021 | IEEE Transactions on Big Data (CCF C) | Paper | TODO |
| Personalized POI Recommendation: Spatio-Temporal Representation Learning with Social Ties | 2021 | The 26th International Conference on Database System for Advanced Applications (CCF B, acceptance rate=98/490=20%, 优秀论文) | Paper | Code |
| Find You If You Drive: Inferring Home Locations for Vehicles with Surveillance Camera Data | 2020 | Knowledge-Based Systems (CCF C) | Paper | TODO |
| 面向位置大数据的快速密度聚类算法 | 2018 | 软件学报 (CCF A) | Paper | TODO |
| Discovering Evolving Moving Object Groups from Massive-Scale Trajectory Streams | 2017 | International Conference on Mobile Data Management (CCF C, acceptance rate=20/75=26.7%) | Paper | TODO |
| title | year | venue | paper | code |
|---|---|---|---|---|
| Disentangled Hypergraph Network with Implicit Structure Learning for Mobility Social Relationship Inference | 2026 | Proceedings of the 35th International Joint Conference on Artificial Intelligence (CCF B) | TODO | Code |
| Dynamic Dual-Channel Asynchronous Graph Neural Network for Traffic Prediction with Missing Values | 2026 | Fundamental Research (JCR Q1) | Paper | TODO |
| ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion | 2026 | Proceedings of the ACM Web Conference (CCF A, acceptance rate=676/3370=20.1%) | Paper | Code |
| Automatic Channel Pruning by Searching with Structure Embedding for Hash Network | 2026 | Proceedings of the 40th AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=4167/23680=17.6%) | Paper | TODO |
| Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy | 2026 | Proceedings of the 40th AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=4167/23680=17.6%) | Paper | Code |
| S²HyRec: Self-Supervised Hypergraph Sequential Recommendation | 2026 | Proceedings of the 40th AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=4167/23680=17.6%) | Paper | Code |
| Multi-Channel Hypergraph Contrastive Learning for Matrix Completion | 2025 | ACM Transactions on Information Systems (CCF A) | Paper | Code |
| Local High-order Structure-aware Graph Neural Network for motif prediction | 2025 | Knowledge-Based Systems (JCR Q1, CCF C) | Paper | Code |
| MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking | 2025 | Proceedings of the 34th International Joint Conference on Artificial Intelligence (CCF A, acceptance rate=1042/5404=19.3%) | Paper | Code |
| 面向节点分类的多层异质图神经网络 | 2025 | 软件学报 (CCF A) | Paper | TODO |
| Dual-Channel Multiplex Graph Neural Networks for Recommendation | 2025 | IEEE Transactions on Knowledge and Data Engineering (CCF A) | Paper | Code |
| Hierarchical Graph Contrastive Learning for Review-Enhanced Recommendation | 2024 | Joint European Conference on Machine Learning and Knowledge Discovery in Databases (CCF B, acceptance rate=198/826=24%) | Paper | Code |
| Hypergraph Hash Learning for Efficient Trajectory Similarity Computation | 2024 | Joint European Conference on Machine Learning and Knowledge Discovery in Databases (CCF B, acceptance rate=198/826=24%) | Paper | Code |
| Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data | 2024 | Proceedings of the 33rd International Joint Conference on Artificial Intelligence (CCF A, acceptance rate=791/5651=14%) | Paper | Code |
| MHGCN+: Multiplex Heterogeneous Graph Convolutional Network | 2024 | ACM Transactions on Intelligent Systems and Technology (Conference Extension, Online) | Paper | Code |
| Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling | 2023 | Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (CCF A, acceptance rate=313/1416=22.1%) | Paper | Code |
| Graph Structure Learning on User Mobility Data for Social Relationship Inference | 2023 | Proceedings of Thirty-Seventh AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=1721/8777=19.6%) | Paper | Code |
| Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference | 2023 | ACM Transactions on Knowledge Discovery from Data (CCF B) | Paper | Code |
| Heterogeneous graph neural network for attribute completion | 2022 | Knowledge-Based Systems (JCR Q1, CCF C) | Paper | Code |
| Multiplex Heterogeneous Graph Convolutional Network | 2022 | Proceedings of 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (CCF A, acceptance rate=254/1695=15%) | Paper | Code |
| Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference | 2021 | Proceedings of 21st IEEE International Conference on Data Mining (CCF B, acceptance rate=198/990=20%) | Paper | Code |
| title | year | venue | paper | code |
|---|---|---|---|---|
| Weighted Graph Clustering via Scale Contraction and Graph Structure Learning | 2026 | Proceedings of the ACM Web Conference (CCF A, acceptance rate=676/3370=20.1%) | Paper | TODO |
| UMGAD: Unsupervised Multiplex Graph Anomaly Detection | 2025 | Proceedings of 41th IEEE International Conference on Data Engineering (CCF A, acceptance rate=300/1465=20.5%) | Paper | Code |
| MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs | 2024 | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CCF B, acceptance rate=347/1496=23%) | Paper | TODO |
| Scalable Motif Counting for Large-scale Temporal Graphs | 2022 | Proceedings of 38th IEEE International Conference on Data Engineering (CCF A, acceptance rate=211/780=27.1%) | Paper | Code |
| Motif-Preserving Dynamic Attributed Network Embedding | 2021 | Proceedings of the Web Conference (CCF A, acceptance rate=355/1736=20.4%) | Paper | Code |
| Fast Attributed Multiplex Heterogeneous Network Embedding | 2020 | Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CCF B, acceptance rate=194/970=20%) | Paper | Code |
| Dynamic Representation Learning for Large-Scale Attributed Networks | 2020 | Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CCF B, acceptance rate=194/970=20%) | Paper | Code |
| Student Performance Prediction based on Multi-View Network Embedding | 2020 | 3rd Chinese Conference on Pattern Recognition and Computer Vision (CCF C) | Paper | TODO |
| Inferring Mobility Relationship via Graph Embedding | 2018 | The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (CCF A, acceptance rate=24.8%) | Paper | TODO |
| Representation Learning for Large-scale Dynamic Networks | 2018 | 23rd International Conference on Database System for Advanced Applications (CCF B, acceptance rate=83/360=23%) | Paper | TODO |
| title | year | venue | paper | code |
|---|---|---|---|---|
| DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting | 2025 | Proceedings of the 34th International Joint Conference on Artificial Intelligence (CCF A, acceptance rate=1042/5404=19.3%) | Paper | Code |
| Non-collective Calibrating Strategy for Time Series Forecasting | 2025 | Proceedings of the 34th International Joint Conference on Artificial Intelligence (CCF A, acceptance rate=1042/5404=19.3%) | Paper | TODO |
| Dataset Condensation for Time Series Classification via Dual Domain Matching | 2024 | Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (CCF A, acceptance rate=409/2046=20%) | Paper | Code |
| Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE | 2023 | Knowledge-Based Systems (JCR Q1, CCF C) | Paper | Code |
| title | year | venue | paper | code |
|---|---|---|---|---|
| Decision-Aware Status Updating for Multi-AP Compute-First Networking Under Transmission Constraints | 2026 | IEEE Internet of Things Journal (JCR Q1, CCF C) | Paper | TODU |
| Efficient Information Updates in Compute-First Networking via Reinforcement Learning With Joint AoI and VoI | 2026 | IEEE Internet of Things Journal (JCR Q1, CCF C) | Paper | TODU |
| title | year | venue | paper | code |
|---|---|---|---|---|
| Machine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based Methodology | 2026 | Proceedings of the 32th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (CCF A, acceptance rate=243/790=30.8%) | Paper | Code |
| Scalable KDE-based top-N local outlier detection over large-scale data streams | 2020 | Knowledge-Based Systems (CCF C) | Paper | Code |
| Layer-constrained variational autoencoding kernel density estimation model for anomaly detection | 2020 | Knowledge-Based Systems (CCF C) | Paper | TODO |
| Anomaly Detection in High-Dimensional Data Based on Autoregressive Flow | 2020 | 25th International Conference on Database System for Advanced Applications (CCF B, acceptance rate=119/487=24.4%) | Paper | TODO |
| 基于密度的Top-n局部异常点快速检测算法 | 2019 | 自动化学报 (CCF A) | Paper | Code |
| Region Compatibility based Stability Assessment for Decision Trees | 2018 | Expert Systems with Applications (CCF C) | Paper | TODO |
| Outlier Detection over Massive-Scale Trajectory Streams | 2017 | ACM Transactions on Database Systems (CCF A) | Paper | TODO |
| An Effective and Efficient Hierarchical K-means Clustering Algorithm | 2017 | International Journal of Distributed Sensor Networks (CCF C) | Paper | TODO |
| title | year | venue | paper | code |
|---|---|---|---|---|
| FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction | 2026 | Proceedings of the ACM on Management of Data 2027 (CCF A) | Paper | Code |