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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 3 years ago
Benchmark datasets, data loaders, and evaluators for graph machine learning
Created
2019-11-22
677 commits to master branch, last one 12 days ago
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Created
2019-08-03
181 commits to master branch, last one 2 years ago
Precision Medicine Knowledge Graph (PrimeKG)
Created
2022-04-18
66 commits to main branch, last one 6 months ago
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
Created
2022-03-30
2 commits to main branch, last one 2 years ago
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
Created
2020-04-01
82 commits to master branch, last one 2 years ago
A curated list of graph data augmentation papers.
Created
2022-02-13
45 commits to main branch, last one 8 months ago
A Python client for the Neo4j Graph Data Science (GDS) library
Created
2021-12-17
2,811 commits to main branch, last one 2 days ago
GraphXAI: Resource to support the development and evaluation of GNN explainers
Created
2021-06-16
736 commits to main branch, last one about a year ago
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
Created
2021-10-04
10 commits to main branch, last one 2 years ago
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 2 years ago
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.
Created
2021-08-24
74 commits to master branch, last one 4 months ago
Implementation of Directional Graph Networks in PyTorch and DGL
Created
2020-09-29
57 commits to master branch, last one 3 years ago
TigerLily: Finding drug interactions in silico with the Graph.
Created
2022-02-28
104 commits to main branch, last one 2 years ago
SignNet and BasisNet
Created
2022-03-07
34 commits to main branch, last one about a year ago
Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
Created
2022-09-29
175 commits to main branch, last one 2 years ago
Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
Created
2021-06-03
12 commits to main branch, last one 2 years ago
The integration of HugeGraph with AI/LLM & GraphRAG
Created
2023-10-08
108 commits to main branch, last one 2 days ago
Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs
Created
2019-03-18
139 commits to master branch, last one 3 months ago
9
41
mit
2
Build ML pipelines for Computer Vision, NLP and Graph Neural Networks using Triton Server.
Created
2021-06-01
145 commits to main branch, last one 2 years ago
Code repository for the ECCV paper "MSD: A Benchmark Dataset for Floor Plan of Building Complexes".
Created
2024-09-03
14 commits to main branch, last one 22 days ago
Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.
Created
2022-07-09
6 commits to main branch, last one 2 years ago
[NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
Created
2024-04-24
28 commits to main branch, last one about a month ago