graph-neural-network topic

scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

juexinwang

A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

thiviyanT

hypergraph representation learning, graph neural network

ma-compbio

Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into efficient execution plans.

xiezhq-hermann

G3: A Programmable GNN Training System on GPU

Xtra-Computing

Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020)

JinheonBaek

TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)

NYXFLOWER

Knowledge Graph Reasoning with Relational Digraph. WebConf 2022

LARS-research

[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)

lsj2408

[IJCAI 2022] Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, Pytorch code

CVI-SZU