dgl

Repository for benchmarking graph neural networks

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

A knowledge graph and a set of tools for drug repurposing

Python package for graph neural networks in chemistry and biology

Protein Graph Library

GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs) and Graph Adversarial Learning with TensorFlow 2.x and PyTorch backend.

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction

Implementation of Directional Graph Networks in PyTorch and DGL

Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)

This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.

An end-to-end solution for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Set of PyTorch modules for developing and evaluating different algorithms for embedding trees.

A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2

A DGL implementation of "Directional Message Passing for Molecular Graphs" (ICLR 2020).

Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

Multilabel Aspect Prediction using Graph Convolutional Networks

Various GNN implementation using DGL library

DSC180B Capstone Project on Graph Data Analysis

Predict CS Paper's Subject Area Using Graph Neural Networks

A DGL implementation of "Graph Neural Networks with convolutional ARMA filters". (PAMI 2021)

A DGL implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

8th place solution to https://www.automl.ai/competitions/3

This repository contains my solution to the evaluation tasks on QML-HEP for ML4Sci Umbrella Organization in GSoC 2021

A DGL implementation of "Combining Label Propagation and Simple Models Out-performs Graph Neural Networks" (ICLR 2021).

6th place solution to KDD CUP 2020 Graph Adversarial Attacks & Defense

📖 Tutorials and projects in Graph, Network and Complex System

reference: DGL & RDKit | 基于Attentive FP可视化训练模型原子权重blog.csdn.net/u012325865/article/details/104868996