A collection of important graph embedding, classification and representation learning papers with implementations.

deepwalk kernel-methods attention-mechanism network-embedding graph-kernel graph-kernels graph-convolutional-networks classification-algorithm node2vec weisfeiler-lehman graph-embedding graph-classification graph-attention-networks graph-representation-learning graph2vec deep-graph-kernels netlsd graph-attention-model structural-attention node-embedding

• Updated Mar 18, 2023
• Python

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

machine-learning kernel word2vec deepwalk matrix-factorization transformer unsupervised-learning graph-kernel node2vec weisfeiler-lehman noise-contrastive-estimation graph-embedding graph2vec subgraph2vec graph-wavelet node-embedding struc2vec implicit-matrix-factorization diff2vec gemsec

• Updated Nov 6, 2022
• Python

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

machine-learning data-mining deep-neural-networks deep-learning neural-network graph tensorflow pytorch deepwalk networkx representation-learning network-embedding graph-kernel node2vec graph-embedding graph-classification node-classification graph2vec node-embedding graph-convolution

• Updated Mar 18, 2023
• Python

A list of data mining and machine learning papers that I implemented in 2019.

resolution machine-learning deep-learning tensorflow sklearn network-science pytorch deepwalk scipy attention-mechanism network-embedding graph-kernel graph-convolutional-networks gcn graph-clustering node2vec graph-embedding graph-classification node-classification node-embedding

• Updated Dec 28, 2019

[BMVC 2025] LayoutGKN: Graph Similarity Learning of Floor Plans

graph-machine-learning graph-kernel msd graph-similarity rplan floor-plans

• Updated Sep 8, 2025
• Python

Machine Learning using marginalized graph kernel for chemical molecules.

machine-learning graph-kernel

• Updated Mar 15, 2024
• Python

all-paths graph kernel for protein-protein interaction extraction

python nlp natural-language-processing ppi graph-kernel protein-protein-interaction

• Updated Apr 22, 2014
• Python

A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).

hashing data-science machine-learning data-mining word2vec deepwalk feature-extraction gensim representation-learning graph-mining large-scale-learning streaming-data graph-kernel node2vec distributed-machine-learning graph-classification streaming-processing multi-scale

• Updated Aug 14, 2022
• Python

A package for downloading and working with graph datasets

graph graphs julia julia-language dataset datasets graph-data hacktoberfest graph-kernel graph-kernels lightgraphs graph-classification juliagraphs graph-datasets

• Updated Nov 10, 2021
• Julia

Assignment for the course of Artificial Intelligence: Knowledge Representation and Planning

python manifold-learning graph-kernel weisfeiler-lehman-kernel

• Updated Jul 6, 2019
• Jupyter Notebook

RAG++ Context Gateway: federated retrieval across pgvector, Graph Kernel, and Gemini embeddings with echo suppression

python research active graph-kernel ai-agents rag fastapi echo-suppression pgvector context-gateway

• Updated Mar 10, 2026
• Rust

Independent reproduction of MICCAI 2023 Sliced Wasserstein Graph Kernel for brain network classification using synthetic functional connectivity graphs.

python machine-learning svm computational-neuroscience optimal-transport graph-kernel brain-network graph-learning wasserstein-distance medical-ai

• Updated Oct 14, 2026
• Python

Shortest-Path Kernel analysis with LLE and Isomap manifold algorithms application

artificial-intelligence manifold-learning graph-kernel

• Updated Jan 14, 2023
• Python

The aim of this project is to compare the performance of an SVM trained on the different graph kernel, with or without the manifold learning step, on the following data-sets

compression svm graph-kernel

• Updated Sep 21, 2021
• Python

Context Gateway: federated retrieval across pgvector, Graph Kernel, and Gemini embeddings with echo suppression

gemini graph-kernel fastapi echo-suppression pgvector context-gateway

• Updated Nov 10, 2026
• Python