Search Results - RepositoryStats

425

2.9k

apache-2.0

63

StellarGraph - Machine Learning on Graphs

gcn graphs python networkx graph-data data-science saliency-map deep-learning graph-analysis link-prediction interpretability machine-learning stellargraph-library graph-neural-networks graph-machine-learning heterogeneous-networks geometric-deep-learning machine-learning-algorithms graph-convolutional-networks

Created 2018-04-13

2,535 commits to develop branch, last one 2 years ago

ogb snap-stanford

396

1.9k

mit

41

Benchmark datasets, data loaders, and evaluators for graph machine learning

datasets deep-learning graph-neural-networks graph-machine-learning

Created 2019-11-22

675 commits to master branch, last one 4 months ago

Graph-Transformer daiquocnguyen

77

626

apache-2.0

9

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

transformer self-attention node-embeddings graph-embeddings graph-transformer transformer-models graph-deep-learning text-classification graph-classification graph-neural-networks graph-machine-learning graph-representation-learning

Created 2019-08-03

181 commits to master branch, last one about a year ago

LinkBERT michiyasunaga

40

396

apache-2.0

7

[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

knowledge pretraining transformer language-model pretrained-models question-answering graph-machine-learning biomedical-applications

Created 2022-03-30

2 commits to main branch, last one 2 years ago

PrimeKG mims-harvard

74

338

mit

11

Precision Medicine Knowledge Graph (PrimeKG)

dataset therapeutics bioinformatics knowledge-graph network-medicine precision-medicine nlp-machine-learning graph-machine-learning

Created 2022-04-18

66 commits to main branch, last one 4 days ago

pna lukecavabarrett

55

331

mit

5

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

dgl pytorch pytorch-geometric graph-neural-networks graph-machine-learning

Created 2020-04-01

82 commits to master branch, last one about a year ago

graph-data-augmentation-papers zhao-tong

22

278

mit

7

A curated list of graph data augmentation papers.

survey data-augmentation graph-neural-networks graph-machine-learning graph-data-augmentation

Created 2022-02-13

45 commits to main branch, last one about a month ago

graph-data-science-client neo4j

44

168

apache-2.0

13

A Python client for the Neo4j Graph Data Science (GDS) library

graph neo4j python python3 algorithms data-science graph-database graph-algorithms machine-learning graph-data-science graph-machine-learning

Created 2021-12-17

2,322 commits to main branch, last one a day ago

GraphXAI mims-harvard

25

142

mit

5

GraphXAI: Resource to support the development and evaluation of GNN explainers

embeddings benchmarking deep-learning explainability explainable-ai explainable-ml interpretability graph-neural-networks graph-machine-learning

Created 2021-06-16

736 commits to main branch, last one about a year ago

grin Graph-Machine-Learning-Group

27

133

unknown

3

Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)

imputation machine-learning graph-machine-learning spatiotemporal-data-analysis multivariate-timeseries-analysis

Created 2021-10-04

10 commits to main branch, last one about a year ago

ReadingList chenxuhao

20

113

unknown

9

Papers on Graph Analytics, Mining, and Learning

graph random-walk graph-mining graph-theory graph-querying graph-sampling graph-analytics graph-databases graph-algorithms graph-clustering graph-coarsening graph-partitioning parallel-computing graph-pattern-mining graph-neural-networks hardware-accelerators graph-machine-learning graph-pattern-matching

Created 2020-04-15

99 commits to master branch, last one about a year ago

DGN Saro00

13

111

unknown

2

Implementation of Directional Graph Networks in PyTorch and DGL

dgl pytorch spectral-methods graph-neural-networks graph-machine-learning

Created 2020-09-29

57 commits to master branch, last one 3 years ago

tigerlily benedekrozemberczki

9

97

apache-2.0

2

TigerLily: Finding drug interactions in silico with the Graph.

ddi node graph biology embedding tigergraph deep-learning graph-database node-embedding graph-embedding knowledge-graph network-science pharmaceuticals machine-learning gradient-boosting heterogeneous-graph drug-drug-interaction unsupervised-learning graph-machine-learning

Created 2022-02-28

104 commits to main branch, last one about a year ago

OpenABC NYU-MLDA

17

95

bsd-3-clause

2

OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.