github.com
a-r-j/graphein: Protein Graph Library
· Protein Graph Library. Contribute to a-r-j/graphein development by creating an account on GitHub. · Shared by 8, including Matt Shaffer, Marktechpost AI Research News ⚡
github.com
GitHub - timlrx/graph-benchmarks
· Contribute to timlrx/graph-benchmarks development by creating an account on GitHub. · Shared by 4, including Matt Shaffer
github.com
H4kor/graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts.
· Python library for embedding large graphs in 2D space, using force-directed layouts. - GitHub - H4kor/graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts. · Shared by 7, including Matt Shaffer
github.com
GitHub - EdisonLeeeee/GreatX: A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
· A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG). - GitHub - EdisonLeeeee/GreatX: A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG). · Shared by 5, including Matt Shaffer
github.com
Wuyxin/DIR-GNN: Official code of "Discovering Invariant Rationales for Graph Neural Networks" (2022 ICLR)
· Official code of "Discovering Invariant Rationales for Graph Neural Networks" (2022 ICLR) - GitHub - Wuyxin/DIR-GNN: Official code of "Discovering Invariant Rationales for Graph Neur... · Shared by 5, including Matt Shaffer
github.com
benedekrozemberczki/karateclub
· A general purpose community detection and network embedding library for research built on NetworkX. - benedekrozemberczki/karateclub · Shared by 20, including Nico Müller 🇺🇦, Real Python, Matt Shaffer, Kirk Borne
github.com
GitHub - michiyasunaga/qagnn
· [NAACL 2021] QA-GNN: Question Answering using Language Models and Knowledge Graphs - GitHub - michiyasunaga/qagnn: [NAACL 2021] QA-GNN: Question Answering using Language Models and Knowledge Graphs · Shared by 4, including Matt Shaffer
github.com
DeepGraphLearning/torchdrug: A powerful and flexible machine learning platform for drug discovery
· A powerful and flexible machine learning platform for drug discovery - GitHub - DeepGraphLearning/torchdrug: A powerful and flexible machine learning platform for drug discovery · Shared by 15, including Matt Shaffer, ipfconline in vacation mode :) will be back Sept.4, AGI.Eth | MTL.Eth
github.com
dmlc/dgl
· Python package built to ease deep learning on graph, on top of existing DL frameworks. - dmlc/dgl · Shared by 24, including Siraj Raval, Nico Müller 🇺🇦, Dr. Ganapathi Pulipaka 🇺🇸, Yves Mulkers, Vikram Dutt, Matt Shaffer, Real Python
github.com
sczhou/IGNN
· Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20) - sczhou/IGNN · Shared by 6, including Matt Shaffer
github.com
eliorc/node2vec
· Implementation of the node2vec algorithm. Contribute to eliorc/node2vec development by creating an account on GitHub. · Shared by 8, including Nico Müller 🇺🇦, Matt Shaffer
github.com
cgtuebingen/ggnn
· GGNN: Graph-based GPU Nearest Neighbor Search. Contribute to cgtuebingen/ggnn development by creating an account on GitHub. · Shared by 5, including Matt Shaffer
github.com
deepmind/jraph
· Contribute to deepmind/jraph development by creating an account on GitHub. · Shared by 16, including Vikram Dutt, Nico Müller 🇺🇦, Matt Shaffer, sircharlsxavier
github.com
Shen-Lab/GraphCL
· [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen - Shen-Lab/GraphCL · Shared by 5, including Matt Shaffer
github.com
benedekrozemberczki/littleballoffur
· Little Ball of Fur - A NetworkX extension library for graph sampling. - benedekrozemberczki/littleballoffur · Shared by 13, including Kirk Borne, Real Python, Matt Shaffer
github.com
GraphSAINT/GraphSAINT
· [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method). - GraphSAINT/GraphSAINT · Shared by 6, including Matt Shaffer