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snap
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.ogb
Benchmark datasets, data loaders, and evaluators for graph machine learningGraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)pretrain-gnns
Strategies for Pre-training Graph Neural Networksdeepsnap
Python library assists deep learning on graphsGraphRNN
med-flamingo
neural-subgraph-learning-GNN
stark
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases (NeurIPS D&B 2024)snap-python
SNAP Python code, SWIG related filescs224w-notes
CS224W Course NotesKGReasoning
Multi-Hop Logical Reasoning in Knowledge GraphsGreaseLM
[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question AnsweringMLAgentBench
relbench
RelBench: Relational Deep Learning BenchmarkGEARS
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbationsdistance-encoding
Distance Encoding for GNN Designgraphwave
UCE
UCE is a zero-shot foundation model for single-cell gene expression datacovid-mobility
roland
GIB
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNsmars
Discovering novel cell types across heterogenous single-cell experimentscomet
[ICLR 2021] Concept Learners for Few-Shot LearningSATURN
orca
[ICLR 2022] Open-World Semi-Supervised Learningprodigy
snapvx
conformalized-gnn
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)multiscale-interactome
plato
miner-data
stellar
mambo
lamp
[ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshingcrust
[NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labelsbc-emb
csr
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 domainsmasa
Motif-Aware State Assignment in Noisy Time Series Datale_pde
LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracyConE
BioDiscoveryAgent
BioDiscoveryAgent is an LLM-based AI agent for closed-loop design of genetic perturbation experimentsF-FADE
MetroMaps
MetroMaps ReleaseMAG
Programs for Microsoft Academic Graphsnap-dev
SNAP repository for Ringoexposure-segregation
ringo
Next generation graph processing platformplanet
PlaNet: Predicting population response to drugs via clinical knowledge graphcovid-mobility-tool
llm-social-network
reddit-processing
preprocessing of Reddit dataViRel
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogynews-search
search Internet news archivesnap-python-64
snap-dev-64
64-bit SNAP (in development, not intended for general use)snapworld
lego
yperf
Simple performance monitor for Linuxpebble-fit
become less sedentary with pebbledec2vec
caml
SnapTimeTF
covid-spillovers
curis-2012
Summer 2012 Curis Projectsnaptime
GNN-reading-group
supply-chains
relbench-user-study
AutoTransfer
hash
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