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- STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases (NeurIPS D&B 2024)
- PlaNet: Predicting population response to drugs via clinical knowledge graph
ViRel
PublicViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy- Benchmark datasets, data loaders, and evaluators for graph machine learning
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
- Python library assists deep learning on graphs
GraphGym
Publicroland
Public- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)