Graph Neural Network creation module, implemented in Tensorflow 2 with examples using the module and the iGNNition library for fast GNN prototyping.

A general deep learning based event camera data processing toolbox from Institude of Intelligent Vehicle at Tongji Univertsity.

Official PyTorch implementation of "Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient".

CNS: Correspondence encoded Neural image Servo policy

Experiments on Neural Network-Based SAT Solver with different instances.

Graph neural network autoencoders for jets in HEP

This is the official repo of the dissertation "Exploiting Time and Content Information to Improve Collaborative and Knowledge-aware Recommendation" which involves the implementation of a new GNN model based on the approaches discussed in papers submitted/accepted at "SIGIR Conference on Research and Development in Information Retrieval".

Code for PRL paper: "GA-GWNN: Generalized Adaptive Graph Wavelet Neural Network"

CIKM'23 paper: Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks

Improving Prediction of Daily Visits of Wikipedia Mathematics Topics using Graph Neural Networks

This repository includes code for classifying if a given molecule can act as a HIV Inhibitor, using the GNN Transformer architecture.

Learning to Count Isomorphisms with Graph Neural Networks

Implementation of Power Law Graph Transformer for Machine Translation and Representation Learning.

Graph Models for NLP

SINGA - Molecular Sampling with Protein-Ligand INteractions aware Generative Adversarial Network

Protein representation learning using graph neural networks and Alphafold generated 3D structures.

[NeurIPS GLFrontiers 2023] DIGNN, Implicit Graph Neural Diffusion Models

Automorphic Equivalence-aware Graph Neural Network. NeurIPS 2021.

An end-to-end knowledge graph based method for computational drug repurposing

Code for our paper "Attending to Graph Transformers"