[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
☆68Aug 3, 2023Updated 3 years ago
Alternatives and similar repositories for AutoST
Users that are interested in AutoST are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆57Dec 24, 2024Updated last year
- [AAAI 2023] Heterogeneous Region Embedding with Prompt Learning☆14Feb 18, 2024Updated 2 years ago
- code for paper Multi-View Joint Graph Representation Learning for Urban Region Embedding. (to be updated)☆34Sep 2, 2021Updated 5 years ago
- [CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"☆19Sep 17, 2024Updated 2 years ago
- [CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"☆23Jun 17, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- [ICDE'23] "DGNN: Disentangled Graph Social Recommendation"☆23Mar 24, 2023Updated 3 years ago
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆18Aug 23, 2023Updated 3 years ago
- [WWW'23] "SimRec: Graph-less Collaborative Filtering"☆29May 6, 2023Updated 3 years ago
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆13Sep 6, 2023Updated 3 years ago
- [Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"☆15Sep 6, 2023Updated 3 years ago
- ☆13Jun 2, 2023Updated 3 years ago
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆50Feb 28, 2024Updated 2 years ago
- SDGCN: Semantics-aware dynamic graph convolutional network for traffic flow forecasting☆11Apr 13, 2026Updated 6 months ago
- [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"☆62Jun 17, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆68Jun 1, 2023Updated 3 years ago
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆69Mar 17, 2024Updated 2 years ago
- [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"☆95Jun 10, 2024Updated 2 years ago
- Urban Region Representation Learning with Attentive Fusion (ICDE 2024)☆20Feb 9, 2025Updated last year
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆307Oct 13, 2023Updated 3 years ago
- Display of data sets and core code in STCGCN☆28Nov 16, 2022Updated 3 years ago
- Summary of Spatio-Temporal Representation Learning Models.☆84Jan 26, 2023Updated 3 years ago
- ☆14Mar 27, 2023Updated 3 years ago
- [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"☆31Aug 1, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Dynamic graph embedding☆14Aug 8, 2018Updated 8 years ago
- [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"☆71Jun 10, 2024Updated 2 years ago
- Code for ECMLPKDD'23 "FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph"☆12Jul 24, 2023Updated 3 years ago
- [WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"☆52Mar 20, 2024Updated 2 years ago
- [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …☆15Jul 3, 2025Updated last year
- [ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"☆24Sep 17, 2024Updated 2 years ago
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆94Sep 2, 2024Updated 2 years ago
- ☆12Aug 5, 2023Updated 3 years ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆43Jan 27, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆14Mar 12, 2025Updated last year
- Official code for "Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training" (CIKM'22).☆13Mar 8, 2024Updated 2 years ago
- Urban Region Representation Learning with OpenStreetMap Building Footprints☆36Apr 18, 2024Updated 2 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆52Apr 7, 2023Updated 3 years ago
- The PyTorch implementation of the paper "AutoCTS: Automated Correlated Time Series Forecasting".☆19Jan 21, 2022Updated 4 years ago
- [AAAI'2025] "Efficient Traffic Prediction through Spatio-Temporal Distillation"☆18May 23, 2025Updated last year
- [ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"☆106Jul 21, 2024Updated 2 years ago