Life & fun · alternatives · 2026

24 alternatives to A collection of graph classification methods (kernels, deep learning)

A collection of important graph embedding, classification and representation learning papers with implementations. - benedekrozemberczki/awesome-graph-classification

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. A collection of graph classification methods (kernels, deep learning) launched in 2020; newer entries below may have overtaken it.

1GC
Graph Convolutional Networks – Intro to neural networks on graphs▲106
Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...
2016 · tkipf.github.io · its alternatives →
2
Deep Learning▲67
The textbook for modern machine learning
2016 · amazon.com · its alternatives →
3
Collection of deep learning implementations with side-by-side notes▲251
2021 · nn.labml.ai · its alternatives →
4
Spektral – Deep learning on graphs with Keras▲67
Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral
2019 · github.com · its alternatives →
5
Machine Learning▲77
A visual guide for beginners
2017 · amazon.com · its alternatives →
6
Little Ball of Fur – A Python library for graph subsampling▲119
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020) - benedekrozemberczki/littleballoffur
2020 · github.com · its alternatives →
7
WhatTheFIsML▲110
An illustrated guide to understanding Machine Learning
2016 · its alternatives →
8
Set of trained deep learning models for computer vision▲127
Keras code and weights files for popular deep learning models. - fchollet/deep-learning-models
2016 · github.com · its alternatives →
9
Neural Networks and Deep Learning▲95
Core concepts behind neural networks and deep learning
2015 · neuralnetworksanddeeplearning.com · its alternatives →
10AL
A library to build graph neural networks in Keras▲8
Spektral: Graph Neural Networks in TensorFlow 2 and Keras
2019 · danielegrattarola.github.io · its alternatives →
11
TensorFlow 1.0▲80
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
12
A Parallel Implementation of Graph2Vec▲53
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017). - benedekrozemberczki/graph2vec
2019 · github.com · its alternatives →
13
Grokking Algorithms▲70
An illustrated guide for programmers & other curious people
2016 · adit.io · its alternatives →
14
A graph-based functional API for building complex sklearn pipelines▲77
A graph-based functional API for building complex scikit-learn pipelines. - alegonz/baikal
2020 · github.com · its alternatives →
15
Deep Learning Gallery▲87
A curated list of awesome deep learning projects
2017 · deeplearninggallery.com · its alternatives →
16
Higher Order Sketch-Based Graph Anomaly Detection▲55
Sketch-Based Anomaly Detection in Streaming Graphs - Stream-AD/AnoGraph
2021 · github.com · its alternatives →
17
A Higher-Order Graph Convolutional Layer, NeurIPS 2018 (PyTorch)▲9
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019). - benedekrozemberczki/MixHop-and-N-GCN
2019 · github.com · its alternatives →
18
A Visual Guide to Graph Traversal Algorithms▲15
Interactive visualisations help explain Depth First Search and Breadth First Search as well as algorithms based upon each approach. A very useful resource for learning by seeing.
2016 · workshape.github.io · its alternatives →
19
Interpretable Text Classification and Clustering in the Browser▲45
Discover amazing ML apps made by the community
2021 · huggingface.co · its alternatives →
20
MixHop: Higher-Order Graph Convolutional Architectures, ICML 2019▲5
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019). - benedekrozemberczki/MixHop-and-N-GCN
2019 · github.com · its alternatives →
21
Parallel Multi-Scale Network Embedding with Walklets▲5
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017). - benedekrozemberczki/walklets
2019 · github.com · its alternatives →
22
Graph Theory Learning Platform▲5
Interactive algorithm visualization
2025 · learngraphtheory.org · its alternatives →
23
A Collection of Monte Carlo Tree Search Papers▲6
A curated list of Monte Carlo tree search papers with implementations. - GitHub - benedekrozemberczki/awesome-monte-carlo-tree-search-papers: A curated list of Monte Carlo tree search papers with implementations.
2020 · github.com · its alternatives →
24
Role2Vec: Learning Role-Based Graph Embeddings▲14
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018). - benedekrozemberczki/role2vec
2020 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →