graphsage

#计算机科学#A distributed graph deep learning framework.

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

#计算机科学#A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

#计算机科学#A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

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

#计算机科学#A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

#计算机科学#A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

B站GNN教程资料

Representation learning on large graphs using stochastic graph convolutions.

GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.

#计算机科学#GraphSAGE and GAT for link prediction.

用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。

Graph Neural Networks

Gradient gating (ICLR 2023)

#计算机科学#Senior Capstone Project: Graph-Based Product Recommendation

[ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)

An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGraph Database and DGL.

CFG based program similarity using Graph Neural Networks