Microsoft

Refined graph encoder embedding via self-training and latent community recovery

This paper introduces a refined graph encoder embedding method, enhancing the original graph encoder embedding through linear transformation, self-training, and hidden community recovery within ...
BBC

Distance-time graphs

Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...
IEEE

Attention-Enhanced Graph Convolution Network for Malware Family Feature Extraction and Embedding

Abstract: Understanding malware from its dynamic API call sequence is non-trivial, since the length of a call sequence might be long and the important calls might be neglected by human beings. In ...
IEEE

Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding

Abstract: In this paper, we explore the capability of both the Adjacency Spectral Embedding (ASE) and the Graph Encoder Embedding (GEE) for capturing an embedded pseudo-clique structure in the random ...
GitHub

Deep Reinforcement Learning for Service Function Chain Placement with Graph Attention and Transformer Encoder

This repository contains the implementation of the paper of paper Deep Reinforcement Learning for Service Function Chain Placement with Graph Attention and Transformer Encoder. In this paper, we ...
GitHub

Pointlist Encoder - Attention Graph - Graphormer Mixture of Experts (PE-AG-GMoE) that predicts both crystal systems and space groups directly from electron diffraction point lists.

OVERVIEW This repository contains PyTorch Lightning code for training and evaluating the PE-AG-GMoE model. It supports single- and multi-GPU runs (DDP), gradient accumulation and automatic ...