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PaddlePaddle
pgl

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

5K 2K 309
aimclub
thegolem

Graph Optimiser for Learning and Evolution of Models

5K 71 11
tensorflow
neural-structured-learning

Training neural models with structured signals.

2K 1K 190
aidos-lab
mantra-dataset

A package for working with higher-order datasets like manifold triangulations.

894 8 1
rubenwiersma
deltaconv

Implementation of DeltaConv: an anisotropic operator for geometric deep learning on point clouds (and other discretizations that will be added in the future).

865 148 10
theislab
geome

Geometric Learning for Genome Data

715 15 4
smeznar
snore-embedding

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations

479 11 2
awslabs
dglke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

385 1K 199
quiver-team
torch-quiver

PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

247 304 37
LTS4
graph-structure-learning

Collection of models for learning networks from signals.

180 3 0
coperception
coperception

An SDK for multi-agent collaborative perception.

87 168 25
alibaba
euler-gl

A toolset for network representation learning.

62 3K 559
alibaba
euler2-gl

A toolset for network representation learning.

38 3K 559
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