Blog - page 5
Learning Graph Neural Networks with DGL -- The WebConf 2020 Tutorial
Watch a video tutorial presented by AWS deep learning scientists and engineers at The Web Conference 2020.
Read more24 May
What is new in DGL v0.4.3 release?
The DGL v0.4.3 release brings many new features for an enhanced usability and system efficiency. The article takes a peek at some of the major highlights.
Read more1 April
DGL v0.4 Release (heterogeneous graph update)
We are thrilled to announce the 0.4 release! This includes support of heterogeneous graphs, release of a package for training knowledge graph embedding and several feature updates and bug fixes.
Read more8 October
DGL v0.3.1 Release
We have received many requests from our community for more GNN layers, models and examples. This is the time to respond. In this minor release, we enriched DGL with a ton of common GNN modules. We have also verified their correctness on some popular datasets so feel free to try them out. Another direction we are working on is to build more domain friendly packages based on DGL. As a first step, we released several pretrained GNN models for molecular property prediction and molecule generation (currently grouped under dgl.model_zoo namespace). We will continue explore this idea and release more domain specific models and packages.
Read more28 August