seoyoungh / one-shot-optimizationLinks
This is the repository of our accepted CIKM 2022 paper "Prediction-based One-shot Dynamic Parking Pricing".
☆17Updated last year
Alternatives and similar repositories for one-shot-optimization
Users that are interested in one-shot-optimization are comparing it to the libraries listed below
Sorting:
- GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023☆61Updated last year
- ☆13Updated last year
- LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21☆37Updated last year
- "Graph Neural Rough Differential Equations for Traffic Forecasting", ACM TIST☆14Updated 3 years ago
- Implementation of Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning (AAAI-23)☆16Updated 3 years ago
- HMLET (Hybrid-Method-of-Linear-and-non-linEar-collaborative-filTering-method)☆20Updated 3 years ago
- 🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024☆21Updated last year
- ☆12Updated last year
- "SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025☆14Updated 2 weeks ago
- MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation (CIKM 2024)☆14Updated 11 months ago
- Published as a journal paper at DAMI 2023☆16Updated 10 months ago
- Analysing fairness of graph anomaly detection methods☆12Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs☆18Updated last year
- Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23☆98Updated last year
- Published as a conference paper at ICLR 2024☆26Updated last year
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24 Short)☆21Updated 11 months ago
- The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.☆16Updated 3 years ago
- Easy-to-use framework for graph continual learning with Python☆38Updated last year
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)☆38Updated last year
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆162Updated last year
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Updated 2 years ago
- WWW22 - MiDaS: Representative Hypergraph Sampling☆13Updated last year
- Graph Neural Convection-Diffusion with Heterophily☆11Updated 2 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆14Updated 2 years ago
- Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"☆11Updated 3 years ago
- Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆30Updated 8 months ago
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 3 years ago
- Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective☆12Updated last year