🕸️ [ICCV'21 Oral] Official PyTorch code of DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization

Pytorch implementation of Relational GCN for node classification

This repo contains the code that runs RL+GNN to optimize LDOs in SKY130 process.

The implementation for "3D Scene Diffusion Guidance using Scene Graphs" paper. A Diffusion Model for Conditional 3D Scene Generation with Classifier-Free Guidance on Scene Graphs

A small tutorial notebook on Graph Neural Networks, especially Graph Convolutional Networks

Fraud detection using Graph Convolutional Networks

Deep Learning on Academic Knowledge Graphs

RGCN model for real-time fraud detection

Small Molecular Graph Generation for Drug Discovery

Introduction of RGCNExplainer, an explainability approach for Relational Graph Convolutional Neural Networks.

A graph ML project exploring static vs. temporal GNNs for Twitter bot detection using a sampled, structurally preserved subset of TwiBot-22. We build: BotRGCN as a strong static relational GNN baseline, and EvoRGCN, a temporal dynamic-graph model using ~800 weekly snapshots to capture behavioral drift.