gnn topic

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

benedekrozemberczki

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

tsinghua-fib-lab

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

SciML

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

Bobo-y

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

benedekrozemberczki

Must-read papers on graph neural networks (GNN)

thunlp

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

kyzhouhzau

An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from...

awslabs

The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。

BaeSeulki

A PyTorch Graph Neural Network Library

microsoft