Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
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Updated
Jun 11, 2024 - Python
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
The SINr approach to train interpretable word and graph embeddings
GraphPro is a versatile and pluggable OO python library designed for leveraging deep graph learning representations to gain insights into structural proteins and their conformations
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
A repository of pretty cool datasets that I collected for network science and machine learning research.
code and data for ICLR 2024 paper ''Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space''
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Graph Alignment Python Library (GALib): a lightweight, user-friendly, and highly versatile Python library for diverse unrestricted graph alignment algorithms. With GALib, you can effortlessly align networks and leverage its extensive range of functionalities.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
Deep and conventional community detection related papers, implementations, datasets, and tools.
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
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