Life & fun · alternatives · 2026
24 alternatives to MixHop: Higher-Order Graph Convolutional Architectures, ICML 2019
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019). - benedekrozemberczki/MixHop-and-N-GCN
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. MixHop: Higher-Order Graph Convolutional Architectures, ICML 2019 launched in 2019; newer entries below may have overtaken it.
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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 →
- 2GC
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 →
- 3IB
We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…
2025 · blog.kuzudb.com · its alternatives →
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Tensorflow implementation of Graph Convolutional Network - shagunsodhani/pregel
2017 · github.com · its alternatives →
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Featuring Ilya Sutskever, director of research for OpenAI
2016 · thetalkingmachines.com · its alternatives →
- 7
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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 →
- 9
Guest: Nando de Freitas (Oxford, Google DeepMind)
2015 · thetalkingmachines.com · its alternatives →
- 10BH
Hello HN, I recently posted a work-in-progress paper, along with code necessary for replicating all its results, at: https://github.com/glassroom/heinsen_routing Among other things, the code in this repo outperforms Hinton et al.'s recent state-of-the-art result in visual recognition[0] while requiring fewer parameters and an order-of-magnitude fewer training epochs. Most of the original research we do at work tends to be either proprietary in nature or tightly coupled to internal code, so we cannot share it with the world. In this case, however, I was able to remove all…
2019 · its alternatives →
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A collection of important graph embedding, classification and representation learning papers with implementations. - benedekrozemberczki/awesome-graph-classification
2020 · github.com · its alternatives →
- 12AL
Spektral: Graph Neural Networks in TensorFlow 2 and Keras
2019 · danielegrattarola.github.io · its alternatives →
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[ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers - sdc17/UPop
2023 · github.com · its alternatives →
- 15
A lightweight C library for artificial neural networks - attractivechaos/kann
2018 · github.com · its alternatives →
- 16
TensorFlow▲17An Open Source Library for Machine Intelligence (by Google)
2015 · tensorflow.org · its alternatives →
- 17
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning - hzwer/ICCV2019-LearningToPaint
2019 · github.com · its alternatives →
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Code that reproduces experiments from a scientific paper - xolod7/polyharmonic-cascade
Jan 2026 · github.com · its alternatives →
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AI image generation from text
2021 · huggingface.co · its alternatives →
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Hey HN, when building ML systems for industrial AI, we have learned that data inspection is critical during the ML development process. We are also big fans of the Hugging Face ecosystem. That is why we built an integration to our data exploration tool Spotlight that allows you to interactively explore Hugging Face datasets with one line of code. Spotlight lets you leverage model results such as predictions and embeddings to gain a deeper understanding in data segments and model failure modes. Currently, many many NLP, CV, Audio and multimodal datasets are supported both locally and on the…
2023 · huggingface.co · its alternatives →
- 21
Deep Learning With Keras And Convolutional Neural Networks
2018 · amazon.com · its alternatives →
- 22
A general-purpose encoder-decoder framework for Tensorflow
2017 · google.github.io · its alternatives →
- 23
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019) - benedekrozemberczki/GraphWaveletNeuralNetwork
2019 · github.com · its alternatives →
- 24TA
In this post, we document the results of some experiments comparing vanilla Graph RAG (just a single pass of text2cypher) vs. a router agent Graph RAG approach that can call vector search tools alongside text2cypher. The routing agent uses an LLM to decide which vector search tool to call, depending on the terms identified in the question, and it works quite well. The results show that recent frontier LLMs like `gpt-4.1` and the trusty workhorse `gemini-2.0-flash` produce great quality Cypher reliably and reproducibly, with some prompt engineering to ensure that the graph schema is formatted…
2025 · blog.kuzudb.com · its alternatives →
Also compare
- A Higher-Order Graph Convolutional Layer, NeurIPS 2018 (PyTorch) alternatives
- Graph Convolutional Networks – Intro to neural networks on graphs alternatives
- In-Browser Graph RAG with Kuzu-WASM and WebLLM alternatives
- Tensorflow Implementation of Graph Convolutional Network alternatives
- Scumble alternatives
- Talking Machines: OpenAI and Gaussian Processes alternatives
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 →