rgcn

🕸️ [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

RGCN model for real-time fraud detection

Deep Learning on Academic Knowledge Graphs

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.

Graph Neural Network platform for drug-drug interaction prediction over a heterogeneous biomedical knowledge graph, with inductive support for unseen drugs.

Heterogeneous graph neural network music recommender with Playlist-Track-Artist relations. Extends Stanford CS224W article with 5 GNN architectures.

A Python-based project for graph learning experiments with baseline models and utilities.

Embedding model for EduGraph labels

Detect and score fraudulent transactions in real time using machine learning with explainable AI and fast API response under 100ms.