Pinned Repositories
deepsnap
Python library assists deep learning on graphs
GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
GraphRNN
med-flamingo
neural-subgraph-learning-GNN
ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
pretrain-gnns
Strategies for Pre-training Graph Neural Networks
snap
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
snap-python
SNAP Python code, SWIG related files
stark
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases (NeurIPS D&B 2024)
snap-stanford's Repositories
snap-stanford/snap
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
snap-stanford/GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
snap-stanford/deepsnap
Python library assists deep learning on graphs
snap-stanford/neural-subgraph-learning-GNN
snap-stanford/stark
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases (NeurIPS D&B 2024)
snap-stanford/MLAgentBench
snap-stanford/relbench
RelBench: Relational Deep Learning Benchmark
snap-stanford/GEARS
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
snap-stanford/UCE
UCE is a zero-shot foundation model for single-cell gene expression data
snap-stanford/roland
snap-stanford/SATURN
snap-stanford/plato
snap-stanford/KGWAS
KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
snap-stanford/lamp
[ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
snap-stanford/BioDiscoveryAgent
BioDiscoveryAgent is an LLM-based AI agent for closed-loop design of genetic perturbation experiments
snap-stanford/le_pde
LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy
snap-stanford/planet
PlaNet: Predicting population response to drugs via clinical knowledge graph
snap-stanford/exposure-segregation
snap-stanford/llm-social-network
snap-stanford/ViRel
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy
snap-stanford/caml
snap-stanford/relbench-user-study
snap-stanford/precice
snap-stanford/AutoTransfer
snap-stanford/supply-chains
snap-stanford/UCE_decoder
snap-stanford/ipf-network-inference
snap-stanford/ogb-web
OGB website
snap-stanford/tuneup