Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
A distributed graph deep learning framework.
Awesome Graph Classification
A collection of important graph embedding, classification and representation learning papers with implementations.
An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.
Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Minimum-distortion embedding with PyTorch
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Tri-Party Deep Network Representation, IJCAI-16
A list of data mining and machine learning papers that I implemented in 2019.
OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080
Learning node representation using edge semantics
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
Graph Embedding via Frequent Subgraphs