Repository for benchmarking graph neural networks (JMLR 2023)

Graph Neural Networks with Keras and Tensorflow 2.

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

Locally Private Graph Neural Networks (ACM CCS 2021)

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.

An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification) - IJCAI 2021

slientruss3d : Python for stable truss analysis and optimization tool

NLP - Semantic Role Labeling using GCN, Bert and Biaffine Attention Layer. Developed in Pytorch

An attempt at demystifying graph deep learning

Antibiotic discovery using graph deep learning, with Chemprop.

Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.

ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees (WSDM 2024)

A repo for baseline of graph pooling.

Graph Deep Learning Course Presentation - Action and Emotion Recognition by Graph Convolutional Network(GCN)

Source code and data of the paper entitled "iACP-GCR: Identifying multi-target anticancer compounds using multitask learning on graph convolutional residual neural networks"

Deep Learning with Graph Representation of Bio-Molecules to estimate physical Properties

Hierarchical Mixture of Experts into a Correct and Smooth Diffusion Model Architecture for Classifying Counties According to their NCHS Urban-Rural Classification.

Final assignment of EE226 course in SJTU by Group 12

[8th IDRC, Best Overall Conference Paper Award] GraphCSVAE: Graph Categorical Structured Variational Autoencoder for Spatiotemporal Auditing of Physical Vulnerability Towards Sustainable Post-Disaster Risk Reduction

Non markovian extension to the graph edit network model proposed by Paassen et al.