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AI Papers
Deep neural networks for density functional theory Hamiltonian.
Deep and conventional community detection related papers, implementations, datasets, and tools.
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Official Pytorch Implementation for "TokenFlow: Consistent Diffusion Features for Consistent Video Editing" presenting "TokenFlow" (ICLR 2024)
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
This repository implements variational graph auto encoder by Thomas Kipf.
Universal and Transferable Attacks on Aligned Language Models
Keras-based implementation of Relational Graph Convolutional Networks
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
A curated collection of adversarial attack and defense on graph data.
How Powerful are Graph Neural Networks?
Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
[CVPR'24 Highlight] Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
A curated list of adversarial attacks and defenses papers on graph-structured data.
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
Framework for evaluating Graph Neural Network models on semi-supervised node classification task
Implementation of Nougat Neural Optical Understanding for Academic Documents