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pgl

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

thegolem

Graph Optimiser for Learning and Evolution of Models

neural-structured-learning

Training neural models with structured signals.

mantra-dataset

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

deltaconv

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

geome

Geometric Learning for Genome Data

snore-embedding

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations

dglke

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

torch-quiver

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

graph-structure-learning

Collection of models for learning networks from signals.

coperception

An SDK for multi-agent collaborative perception.

euler-gl

A toolset for network representation learning.

euler2-gl

A toolset for network representation learning.