graph-learning topic

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

awslabs

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

quiver-team

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

hugochan

A distributed graph deep learning framework.

alibaba

Training neural models with structured signals.

tensorflow

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

huawei-noah

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

PaddlePaddle

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

wenwenyu

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

rubenwiersma

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception

ai4ce