snap-stanford / supply-chainsLinks
☆11Updated 5 months ago
Alternatives and similar repositories for supply-chains
Users that are interested in supply-chains are comparing it to the libraries listed below
Sorting:
- large population models☆390Updated 2 weeks ago
- RelBench: Relational Deep Learning Benchmark☆283Updated last week
- A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)☆947Updated 5 months ago
- SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks☆58Updated 6 months ago
- ☆496Updated 3 months ago
- A library for generative social simulation☆984Updated this week
- ☆148Updated 11 months ago
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆389Updated last year
- Temporal Graph Benchmark project repo☆232Updated 2 weeks ago
- A foundation model for knowledge graph reasoning☆554Updated 6 months ago
- A collection of tutorials for using Cypher and Neo4j for creating, querying, analyzing, and doing process mining with event knowledge gra…☆48Updated last month
- TGN: Temporal Graph Networks☆1,091Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,823Updated last year
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆425Updated this week
- A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.☆616Updated 4 months ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆766Updated last year
- Accompanied repositories for our paper Graph foundation model☆211Updated 9 months ago
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆214Updated 8 months ago
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆294Updated 3 months ago
- ☆66Updated last year
- Papers about graph transformers.☆900Updated 4 months ago
- FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence)☆204Updated 2 years ago
- This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.☆186Updated 8 months ago
- Data and source code for the paper "How choosing random-walk model and network representation matters for flow-based community detection …☆11Updated 4 years ago
- Experimental library integrating LLM capabilities to support causal analyses☆230Updated last week
- [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"☆330Updated 4 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆253Updated 2 months ago
- GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Complex Networks.☆50Updated last month
- Code for paper "Towards Training GNNs using Explanation Directed Message Passing"☆16Updated 2 years ago
- Python library assists deep learning on graphs☆562Updated last year