usail-hkust / Skill-Demand-Supply-Joint-PredictionLinks
☆12Updated last year
Alternatives and similar repositories for Skill-Demand-Supply-Joint-Prediction
Users that are interested in Skill-Demand-Supply-Joint-Prediction are comparing it to the libraries listed below
Sorting:
- KDD'22 ''Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning''☆13Updated 2 years ago
- Official codes of KDD'24 paper "HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning"☆10Updated last year
- UUKG: Unified Urban Knowledge Graph Dataset for Knowledge-Enhanced Urban Spatiotemporal Prediction☆107Updated 5 months ago
- ☆12Updated 9 months ago
- [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"☆84Updated last year
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆86Updated last year
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆56Updated 9 months ago
- Large Language Models as Human Mobility Predictors☆56Updated 11 months ago
- The implementation of Meta-Pec☆12Updated 2 years ago
- ☆20Updated 2 years ago
- [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"☆40Updated 3 years ago
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆66Updated 2 years ago
- [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"☆53Updated last year
- [CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"☆22Updated last year
- source_code for TULVAE☆23Updated 7 years ago
- [ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks☆33Updated 2 years ago
- NeurIPS 2024: RAGraph: A General Retrieval-Augmented Graph Learning Framework☆18Updated 8 months ago
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆11Updated 2 years ago
- The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction☆14Updated 3 years ago
- Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)☆137Updated last year
- ☆24Updated 3 years ago
- Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem☆19Updated 3 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 3 years ago
- [NAACL 2025 Main] AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction.☆33Updated 2 months ago
- The official PyTorch implementation of "Causal Learning Empowered OD Prediction for Urban Planning" (CIKM 2022).☆11Updated 2 years ago
- Implementation codes for KDD24 paper "LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?"☆30Updated last year
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆96Updated last year
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆15Updated last year
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization☆20Updated 10 months ago