Scripts and outputs related to the paper Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings.

Last update: Nov 01, 2021

Overview

Knowledge Graph Embeddings and Chemical Effect Prediction, 2020.

Scripts and outputs related to the paper Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings.

A snapshot of TERA (the Toxicological Effect and Risk Assessment Knowledge Graph) is avalible as a Zenodo dataset:

To run the codes you must install KGE-Keras.

To reproduce results from paper run:

bash run.sh

This will take several days, depending on hardware avalible. 3-5 days on Nvidia GTX 1070ti. Set --MAX_TRIALS 0 to use default parameters.

Alternativly, unzip results.zip and run

python3 analyse_results.py

Related publications

Erik B. Myklebust, Ernesto Jimenez Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen. Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings. Accepted for publication in the Semantic Web Journal, 2021. Paper REPOSITORY

Owner

Knowledge Graphs at the Norwegian Institute for Water Research

GitHub Repository

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Scripts and outputs related to the paper Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings.

Related tags

Overview

Knowledge Graph Embeddings and Chemical Effect Prediction, 2020.

Related publications

Owner

Knowledge Graphs at the Norwegian Institute for Water Research

The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".

BOVText: A Large-Scale, Multidimensional Multilingual Dataset for Video Text Spotting

A naive ROS interface for visualDet3D.

This package implements the algorithms introduced in Smucler, Sapienza, and Rotnitzky (2020) to compute optimal adjustment sets in causal graphical models.

MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images

Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)

codes for Image Inpainting with External-internal Learning and Monochromic Bottleneck

Build a small, 3 domain internet using Github pages and Wikipedia and construct a crawler to crawl, render, and index.

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

VLG-Net: Video-Language Graph Matching Networks for Video Grounding

PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

Text-Based Ideal Points

Train SN-GAN with AdaBelief

Multiview 3D object detection on MultiviewC dataset through moft3d.

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The hippynn python package - a modular library for atomistic machine learning with pytorch.

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.

Implementation for paper "Towards the Generalization of Contrastive Self-Supervised Learning"

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