Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
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Updated
Jun 19, 2024 - Python
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A repository of pretty cool datasets that I collected for network science and machine learning research.
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
A curated list of community detection research papers with implementations.
Implementing deep learning models from an under the hood perspective.
Torch geometric compatible node embedders
Implementations of different NLP tasks
Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
🚶 Cython implementation of DeepWalk
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Representation Learning of Graphs in Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
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