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Name: Stephen Bonner
Type: User
Company: AstraZeneca
Bio: ML & Knowledge Graphs for Drug Discovery
Twitter: sbonner0
Location: United Kingdom
Blog: https://scholar.google.com/citations?user=NhwYLnUAAAAJ&hl=en
Name: Stephen Bonner
Type: User
Company: AstraZeneca
Bio: ML & Knowledge Graphs for Drug Discovery
Twitter: sbonner0
Location: United Kingdom
Blog: https://scholar.google.com/citations?user=NhwYLnUAAAAJ&hl=en
A collection of research papers and software related to explainability in graph machine learning.
The code and datasets for the IEEE Big Data 2016 paper entitled - " Deep Topology Classification: A New Approach for Massive Graph Classification"
Config files for my Arch i3-gaps + Polybar setup
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Graph Auto-Encoder in PyTorch
The code for measuring the similarity of graphs using Apache Spark and GraphX
A repository for the graph finger print comparison code, written in python and graph-tool.
Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
🤖 A Python library for learning and evaluating knowledge graph embeddings
Simple experiment of Apex (A PyTorch Extension)
Geometric Deep Learning Extension Library for PyTorch
A general purpose recommender metrics library for fair evaluation.
Semantic Enabled Python Tool For The Construction Of Complex Networks From Disperse Data Sources (SemNetCon)
code for Gogleva et al manuscript
Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions
Code the Big Data 2018 Paper: Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Code for both the IEEE Big Data 2017 Paper: Evaluating the quality of graph embeddings via topological feature reconstruction and the Springer Data Science and Engineering paper: Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.