The released code for the paper: ''Embracing Long-range Dependency in Graph Classification by Stacking Graph Neural Network" in WebConf 2023

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Source code for SkipNode

[TKDD] An official code for paper "Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder".

An official code for paper "Synergistic Deep Graph Clustering Network".

Multi-scale Graph Clustering Network

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Methods and Implements of Deep Clustering

official implementation for the paper "Simplifying Graph Convolutional Networks"

[ICML 2022] Local Augmentation for Graph Neural Networks

A curated list of graph data augmentation papers.

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

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Code for reproducing results in GraphMix paper

收藏的一些经典的历史、政治、心理、哲学、数学、计算机方面电子书(约10万本）

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

📚 免费的计算机编程类中文书籍，欢迎投稿

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

A *tuned* minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

code and trained models for "Attentional Feature Fusion"

[Pattern Recognition] An official code for paper "Graph Clustering Network with Structure Embedding Enhanced".

Methods and Implements of Deep Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Adversarially regularized Joint Structured Clustering Network (AJSCN)