yanganYNU / AFFGCN
Attention Feature Fusion base on spatial-temporal Graph Convolutional Network(AFFGCN)
☆35Updated 5 months ago
Alternatives and similar repositories for AFFGCN:
Users that are interested in AFFGCN are comparing it to the libraries listed below
- Official implementation of "WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting" (ICASSP 2024)☆42Updated last year
- Official repository of STONE (KDD 2024)☆44Updated last month
- DGDATA: Deep Generative Domain Adaptation with Temporal Relation Attention Mechanism for Cross-User Activity Recognition☆8Updated 8 months ago
- [WWW2024] More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning☆60Updated 3 weeks ago
- Sequential data using RNN (LSTM, GRU, etc) CNN and RCNN. Adaptable to variable length input sequence.☆58Updated 2 years ago
- Official implementation of "TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting"☆71Updated this week
- AAAI'2024☆30Updated last month
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)☆168Updated 2 years ago
- Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction in KDD2023☆12Updated 5 months ago
- traffic flow prediction☆11Updated last year
- Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)☆122Updated 10 months ago
- Paper A 3D-Temporal Convolutional Transformer Network for Spatiotemporal Predictive Learning☆96Updated 2 years ago
- SFMGTL for corss-city knowledge transfer☆18Updated 7 months ago
- ☆32Updated last year
- ☆12Updated 5 months ago
- Code for TH-GNN (paper accepted by KDD2022)☆61Updated last year
- This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022☆127Updated 3 years ago
- 这个开源项目主要是对经典的时间序列预测算法论文进行复现,模型主要参考自GluonTS,框架主要参考自Informer☆123Updated 3 years ago
- code for ICLR 2024 paper MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process☆37Updated last year
- 🌟Learning Hierarchical Time Series Data Augmentation Invariances via Contrastive Supervision for Human Activity Recognition☆9Updated last year
- Repository for "FreDF: Learning to Forecast in the Transformed Domain"☆175Updated last week
- MGFN: Multi-Graph Fusion Networks for Urban Region Embedding (MGFN, https://fanxlxmu.github.io/publication/ijcai22/) was accepted by IJCA…☆183Updated 10 months ago
- Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection☆37Updated last year
- Official implementation of "CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning" (AAAI 2025)☆107Updated last month
- A Large-scale Hierarchical Dynamic Financial Knowledge Base☆47Updated 9 months ago
- [TPAMI24] GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation☆32Updated 3 months ago
- Code for WWW'22 "Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data"☆52Updated last year
- Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)☆168Updated 3 months ago
- [NeurIPS 2024] An official source code for paper "End-to-end Learnable Clustering for Intent Learning in Recommendation".☆52Updated 3 months ago
- Implementation of the Knowledge Transferable Graph Neural Network (KTGNN), published on WWW2023☆52Updated last year