AI · alternatives · 2026

24 alternatives to KGCNs – Machine Learning over Knowledge Graphs with TensorFlow

KGCNs is a machine learning framework built on TensorFlow for processing knowledge graphs. It's designed for researchers and developers who need to apply neural network techniques to structured knowledge… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. KGCNs – Machine Learning over Knowledge Graphs with TensorFlow launched in 2019; newer entries below may have overtaken it.

1
TensorFlow 1.0▲823
Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
2GC
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 →
3
Spektral – Deep learning on graphs with Keras▲67
Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral
2019 · github.com · its alternatives →
4
Comprehensive Tutorials in Deep Learning Using TensorFlow▲327
:satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow
2018 · github.com · its alternatives →
5AL
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 →
6
Netmind Power▲272
Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month
2023 · netmind.ai · its alternatives →
7
TensorFlow 1.0▲80
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
8
Applying the Unix philosophy to neural networks▲251
Neural network inference the Unix way. Contribute to cloudkj/layer development by creating an account on GitHub.
2019 · github.com · its alternatives →
9
KGNN▲1
AI accuracy starts here
2025 · equitus.ai · its alternatives →
10
Tensorflow Research Cloud▲288
Accelerating open machine learning research with Cloud TPUs
2017 · sites.research.google · its alternatives →
11ID
Interactive deep convnet visualization for Keras and Tensorflow▲124
2016 · jakebian.github.io · its alternatives →
12KB
Kur by Deepgram (YC S16) – Deep Learning Made Easy▲103
2017 · kur.deepgram.com · its alternatives →
13
KgBase▲257
Build knowledge graphs without writing code
2020 · its alternatives →
14
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 →
15
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 →
16
I trained a neural network to write Kanji▲166
sketch-rnn model trained to write kanji.
2018 · otoro.net · its alternatives →
17
A high-performance TensorFlow library for quantitative finance▲153
High-performance TensorFlow library for quantitative finance. - google/tf-quant-finance
2021 · github.com · its alternatives →
18
Sonnet▲134
A new library for constructing neural networks from DeepMind
2017 · deepmind.google · its alternatives →
19
TensorSpace.js – Neural network 3D visualization framework▲167
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js - GitHub - tensorspace-team/tensorspace: Neural network 3D visualization framework, build interactive and intuitive model in br
2018 · github.com · its alternatives →
20N5
NN-512 – Generate standalone C code for neural nets▲111
2020 · nn-512.com · its alternatives →
21KG
Knowledge graph of restaurants and chefs, built using LLMs▲201
Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and…
2025 · theophilecantelob.re · its alternatives →
22
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 →
23
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 →
24
TensorFlow-Resources – Organized and Useful Resources about TensorFlow▲152
:satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources
2018 · 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 →