AI · alternatives · 2026

24 alternatives to Graph Convolutional Networks – Intro to neural networks on graphs

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...

Graph Convolutional Networks is an educational resource introducing neural network techniques for graph-structured data. It explains how to apply neural networks to datasets like social networks, knowledge graphs, and… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Graph Convolutional Networks – Intro to neural networks on graphs launched in 2016; newer entries below may have overtaken it.

1
Neural networks tutorial series with code▲107
The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.
2020 · github.com · its alternatives →
2
Neural Networks and Deep Learning▲95
Core concepts behind neural networks and deep learning
2015 · neuralnetworksanddeeplearning.com · its alternatives →
3
Tensorflow Implementation of Graph Convolutional Network▲5
Tensorflow implementation of Graph Convolutional Network - shagunsodhani/pregel
2017 · github.com · its alternatives →
4AV
A Visual and Interactive Guide to the Basics of Neural Networks▲63
Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train
2016 · jalammar.github.io · its alternatives →
5ID
Interactive deep convnet visualization for Keras and Tensorflow▲124
2016 · jakebian.github.io · its alternatives →
6
Collection of deep learning implementations with side-by-side notes▲251
2021 · nn.labml.ai · its alternatives →
7
Deep Learning in TensorFlow – The Roadmap for Study and Learning▲146
:satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources
2019 · github.com · its alternatives →
8
Sonnet▲134
A new library for constructing neural networks from DeepMind
2017 · deepmind.google · its alternatives →
9
Simple Deep Learning Tutorials using Microsoft Cognitive Toolkit▲126
:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK) - CNTK-World/README.rst at master · astorfi/CNTK-World
2017 · github.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
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 →
12
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 →
13
Mask R-CNN Neural Network for Mapping Sport Fields in OpenStreetMap▲94
Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun. - jremillard/images-to-osm
2018 · github.com · its alternatives →
14
A collection of graph classification methods (kernels, deep learning)▲8
A collection of important graph embedding, classification and representation learning papers with implementations. - benedekrozemberczki/awesome-graph-classification
2020 · github.com · its alternatives →
15
Spektral – Deep learning on graphs with Keras▲67
Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral
2019 · github.com · its alternatives →
16
TensorFlow 1.0▲80
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
17
KGCNs – Machine Learning over Knowledge Graphs with TensorFlow▲10
2019 · github.com · its alternatives →
18
Deep Learning▲67
The textbook for modern machine learning
2016 · amazon.com · its alternatives →
19
Using 3D Convolutional Neural Networks for Speaker Verification▲59
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification - astorfi/3D-convolutional-speaker-recognition
2017 · github.com · its alternatives →
20
A Course on Deep Learning Using Google's TensorFlow▲39
:earth_americas: Simple and ready-to-use tutorials for TensorFlow - astorfi/TensorFlow-World
2019 · github.com · its alternatives →
213W
3d Word Vectors with Neural Networks, T-SNE, and WebGL▲30
2013 · wordcloud.ersatz1.com · its alternatives →
22
Graphlearn-for-PyTorch, distributed graph learning on PyTorch▲9
Hello HN, We are pleased to introduce you graphlearn-for-pytorch (https://github.com/alibaba/graphlearn-for-pytorch), an open-source distributed graph neural network library based on PyTorch and compatible with PyG. Our library is designed to make it easy for developers to build and train large-scale graph models in a distributed environment. With graphlearn-for-pytorch, you can leverage GPUs to accelerate graph sampling and utilize UVA to reduce the overheads of feature collection. Following a scalable design, graphlearn-for-pytorch supports training GNN models on…
2023 · github.com · its alternatives →
23
Comgra: A library for debugging and understanding neural networks▲66
I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…
2023 · github.com · its alternatives →
24
Multi-GPU Reinforcement Learning in Tensorflow for OpenAI Gym▲58
Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym - vishar0/dist-dqn
2016 · github.com · its alternatives →

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