snap-stanford

Pinned Repositories

deepsnap
Python library assists deep learning on graphs
Language:Python550 60 4856
GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
Language:Python1.7k 24 49186
GraphRNN
Language:Python415 60 9116
med-flamingo
Language:Python387 15 1633
neural-subgraph-learning-GNN
Language:Jupyter Notebook341 9 3265
ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
Language:Python1.9k 41 298402
pretrain-gnns
Strategies for Pre-training Graph Neural Networks
Language:Python971 18 63162
snap
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
Language:C++2.2k 177 170800
snap-python
SNAP Python code, SWIG related files
Language:C++298 63 89107
stark
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases (NeurIPS D&B 2024)
Language:Python306 2 1237

snap-stanford's Repositories

snap-stanford/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
Language:Python971 18 63162
snap-stanford/med-flamingo
Language:Python387 15 1633
snap-stanford/snap-python
SNAP Python code, SWIG related files
Language:C++298 63 89107
snap-stanford/cs224w-notes
CS224W Course Notes
Language:CSS297 12 276
snap-stanford/KGReasoning
Multi-Hop Logical Reasoning in Knowledge Graphs
Language:Python283 11 1957
snap-stanford/GreaseLM
[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Language:Python232 7 1739
snap-stanford/distance-encoding
Distance Encoding for GNN Design
Language:Jupyter Notebook183 8 1226
snap-stanford/covid-mobility
Language:Jupyter Notebook148 49 552
snap-stanford/GIB
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
Language:Jupyter Notebook128 46 424
snap-stanford/mars
Discovering novel cell types across heterogenous single-cell experiments
Language:Jupyter Notebook119 10 1636
snap-stanford/comet
[ICLR 2021] Concept Learners for Few-Shot Learning
Language:Python112 9 815
snap-stanford/orca
[ICLR 2022] Open-World Semi-Supervised Learning
Language:Python92 5 1812
snap-stanford/prodigy
Language:Python78 4 48
snap-stanford/CAW
Language:Python75 3 719
snap-stanford/snapvx
Language:Python65 74 2234
snap-stanford/multiscale-interactome
Language:Python62 4 014
snap-stanford/miner-data
Language:Python61 70 014
snap-stanford/stellar
Language:Jupyter Notebook61 5 1317
snap-stanford/crust
[NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels
Language:Python33 4 310
snap-stanford/csr
Language:Python33 5 58
snap-stanford/bc-emb
Language:Python32 5 22
snap-stanford/zeroc
ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more complex, hierarchical concepts, even across domains
Language:Jupyter Notebook29 48 24
snap-stanford/masa
Motif-Aware State Assignment in Noisy Time Series Data
Language:Python24 11 113
snap-stanford/ConE
Language:Python21 5 12
snap-stanford/F-FADE
Language:Python17 5 07
snap-stanford/covid-mobility-tool
Language:Jupyter Notebook10 5 02
snap-stanford/snap-python-64
Language:C++6 75 06
snap-stanford/lego
5 11 3
snap-stanford/covid-spillovers
Language:Jupyter Notebook2 5 0
snap-stanford/GNN-reading-group
1 6 0