JKZuo / Diff-DGMN
Diff-DGMN: A Diffusion-based Dual Graph Multi-attention Network for POI Recommendation
☆145Updated 4 months ago
Alternatives and similar repositories for Diff-DGMN:
Users that are interested in Diff-DGMN are comparing it to the libraries listed below
- A curated list/survey of/on Deep learning for Travel-Time-Estimation (TTE) & Estimated Time of Arrival (ETA)☆97Updated 4 months ago
- A Collaborative Trajectory Representation model (CTRNext) to enhance the next POI recommendation☆23Updated 4 months ago
- Code for ECMLPKDD'23 "FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph"☆11Updated last year
- ☆19Updated 5 months ago
- Code for CIKM'23 "Cross-city Few-shot Traffic Forecasting via Traffic Pattern Bank"☆19Updated last year
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆41Updated 2 years ago
- ☆24Updated last year
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆10Updated last year
- [CVPR22] GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning☆117Updated 2 years ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆34Updated 3 months ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆173Updated 3 months ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆157Updated 2 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆112Updated last year
- ☆14Updated 2 months ago
- ☆44Updated 2 years ago
- Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"☆76Updated last month
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆195Updated last year
- [AAAI 2025] Official implementation of "TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment"☆28Updated last month
- ☆12Updated 4 months ago
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆16Updated 11 months ago
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆26Updated last year
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆179Updated this week
- Official codes of KDD'24 paper "HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning"☆10Updated 6 months ago
- The implementation of ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model☆21Updated 2 months ago
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆32Updated 3 months ago
- The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".☆31Updated last year
- This is the official code release of the following paper: Yicheng Zhou et al., Make Graph Neural Networks Great Again: A Generic Integrat…☆10Updated 7 months ago
- An offical implementation of STDN: "Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting." (AAAI 202…☆11Updated 2 weeks ago
- Implementation code for the model Diffusion-based Origin-destination Travel Time Estimation (DOT), proposed in the SIGMOD 2024 paper "Ori…☆16Updated 6 months ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆22Updated 11 months ago