Paper Lists for Graph Neural Networks

[CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data

[ECCV 2020] DRG: Dual Relation Graph for Human-Object Interaction Detection

Key information extraction from invoice document with Graph Convolution Network

同名论文消歧的工程化方案（参考2019智源-aminer人名消歧竞赛第一名方案）

Subspace Graph Physics

Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.

A method for transforming analog and digital circuits into graph networks for the use of graph neural networks (GNN).

Forman Ricci Curvature for Simplicial Complex.

[CEE302 Final project] Resolving MCLP Using Walking Graph Network and Genetic Algorithm for the Proposal of Elder Facilities Locations in Gwanak-Gu

A Simple C++ Implementation of the Lemon Optimization Library to Solve a Minimum Cost Flow problem in a given Graph Network with Supply/Demand Values of Nodes and Capacity, Unit Cost of Flow for each Edge.

Tensorflow implemetation of the Edge Convolution

Leaning record from zero to master

All the files used for the Amtrak scheduling helper final project

Graph Network in Tensorflow

Web application designed to help you analyze and gain valuable insights into nutritional components through intuitive data visualizations.

Graph Network framework