IEEE

Toward Early and Accurate Network Intrusion Detection Using Graph Embedding

Abstract: Early and accurate detection of network intrusions is crucial to ensure network security and stability. Existing network intrusion detection methods mainly use conventional machine learning ...
GitHub

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

Graph convolutional network (GCN) has been successfully applied to many graph-based applications; however, training a large-scale GCN remains challenging. Current SGD-based algorithms suffer from ...
Frontiers

Shear wave velocity prediction using bidirectional recurrent gated graph convolutional network with total information embeddings

Shear wave velocity is an essential elastic rock parameter for reservoir characterization, fluid identification, and rock physics model building. However, S-wave velocity logging data are often ...
GitHub

Transformer for Graph Classification

This program provides the implementation of our U2GNN as described in our paper: Universal Self-Attention Network for Graph Classification, where we induce an advanced aggregation function using a ...