#计算机科学#Build Graph Nets in Tensorflow
#计算机科学#Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
#计算机科学#TypeDB-ML is the Machine Learning integrations library for TypeDB
#计算机科学#Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
A toolkit for mapping networks of political and economic influence through diverse types of entities and their relations. Accessible at http://granoproject.org
[CVPR2019]Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
[NeurIPS 2023] Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (IC...
#计算机科学#Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
#计算机科学#Reimplementation of Learning Mesh-based Simulation With Graph Networks
#计算机科学#Implements a disparity filter in Python, based on graphs in NetworkX, to extract the multiscale backbone of a complex weighted network (Serrano, et al., 2009)
#计算机科学#Graph Network for protein-protein interface including language model features
Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
#计算机科学#This project involved the analysis of the ArXiv citation network.
Explainability of Deep RL algorithms using graph networks and layer-wise relevance propagation.
Analysis of the Symptoms-Disease Network database using communities.