Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

Awesome resources on normalizing flows.

PyTorch implementation of variational Bayesian neural network with normalizing flows

This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals

A Note On Over-Smoothing for Graph Neural Network

About The implementation of Missing Data Imputation with Graph Laplacian Pyramid Network.

Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.

[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications

This repository is used to store the source code of model WaveNet, which is a research published in AAAI24 named "WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets". Thanks…

PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"

A list of diffusion-based graph generative models

CommGNAS is an unsupervised automatic graph representation learning framework based on self-supervised and self-representation learning.

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

Graph Spectral Regularization for Neural Network Interpretability

Spectral Graph Attention Network with Fast Eigen-approximation

VGAE Based Graph-level Anomaly Detection

Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

[TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

Diffusion Recommender Model

Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models

Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)