yueliu1999

Awesome-Deep-Graph-Clustering

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

Dink-Net

[ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".

HSAN

[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

DCRN

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

fastcodellama

Self-Acceleration of CodeLlama for Code Generation

RGC

[ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.

SCGC

[TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".

Awesome-Deep-Group-Recommendation

Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).

yueliu1999.github.io

Yue Liu's HomePage.

awesome-awesome-machine-learning

A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

ELCRec

End-to-end Learnable Clustering for Intent Learning in Recommendation

Awesome-Incomplete-Graph-Representation-Learning

A curated list for awesome incomplete graph representation learning resources.

DeepClustering

Methods and Implements of Deep Clustering

awesome-pretrain-on-graphs

[Ai4Science@ICML 2022] A curated list of resources for pre-training on (molecular) graphs.

IDCRN

TKDE23-SymCL

A-Unified-Framework-for-Deep-Attribute-Graph-Clustering

This project is a scalable unified framework for deep graph clustering.

Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

Awesome-Deep-Multiview-Clustering

Awesome-Knowledge-Graph-Reasoning

Awesome-LLM-KG

Awesome papers about unifying LLMs and KGs

awesome-molecular-graph-representation-learning

A curated list of resources for molecular graph representation learning.

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

MiniGPT-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

SIGIR23-RPC

tmp

SMDL-Attribution

[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection

SSLRec

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"