Ansible playbooks to deploy & manage a DGL cluster
-
Updated
Sep 5, 2022
Ansible playbooks to deploy & manage a DGL cluster
This repository contains the official implementation of the paper titled Multimodal weighted graph representation for information extraction from visually rich documents.
DGL Implementation of "Efficient Sampling Techniques for Embedding Large Graphs". KCC 2022
The solution code for MAXP DGL contest
Collab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend. About Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.
Yet Another Machine Learning package for Chemistry
Official DGL Implementation of "Distributed Graph Data Augmentation Technique for Graph Neural Network". KSC 2023
Baseline Evaluation for the project "Acceleration of Neural Network Training with Microsoft DeepSpeed"
Repository for bilateral message passing GNNs
GraphAC (Graph Adversarial Collaboration) – a novel, principled, task-agnostic, and stable framework for evaluating GNNs through contrastive self-supervision, without the need of handcrafted augmentations
A DGL implementation of "KPConv: Flexible and Deformable Convolution for Point Clouds" (ICCV 2019).
📖 Tutorials and projects in Graph, Network and Complex System
A Deep Graph Library Custom HeteroGraph implementation of the LFM1b dataset
Supervised node classification using Graph Convolutional Network (GCN) in DGL.ai.
Add a description, image, and links to the dgl topic page so that developers can more easily learn about it.
To associate your repository with the dgl topic, visit your repo's landing page and select "manage topics."