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《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
[Champion Winner of IEEE HPEC 2024 Graph Challenge] Demo code of the paper entitled "Towards Faster Graph Partitioning via Pre-training and Inductive Inference", which won the Champion of IEEE HPEC…
Official implementation for "Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space" (KDD2024)
ICDM 2023 TuGraph Competition: Pretrained Model-based Community Detection and Fraudulent Group Mining —— Top6
A modular graph-based Retrieval-Augmented Generation (RAG) system
Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection", ICASSP 2024.
[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
Question and Answer based on Anything.
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
PyGCL: A PyTorch Library for Graph Contrastive Learning
Awesome Papers About Performing Prompting On Graphs
A Unified Python Library for Graph Prompting
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
Paper Lists for Graph Neural Networks
This repository contains the resources on graph neural network (GNN) considering heterophily.
Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
Deep and conventional community detection related papers, implementations, datasets, and tools.
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
A curated list of community detection research papers with implementations.
[TKDD'23] Demo code of the paper entitled "Towards a Better Trade-Off between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs", which has been accepted by…
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"