Life & fun · alternatives · 2026

24 alternatives to Parallel Multi-Scale Network Embedding with Walklets

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017). - benedekrozemberczki/walklets

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Parallel Multi-Scale Network Embedding with Walklets launched in 2019; newer entries below may have overtaken it.

1
Building a web search engine from scratch with 3B neural embeddings▲699
End-to-end deep dive of the project, spanning a large GPU cluster, distributed RocksDB, and terabytes of sharded HNSW.
2025 · blog.wilsonl.in · its alternatives →
2IB
In-Browser Graph RAG with Kuzu-WASM and WebLLM▲158
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 →
3
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 →
4GC
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 →
5
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 →
6
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 →
7AW
A walkable 3D tour of a feedforward neural net▲5
A walkable 3D tour of a small feedforward network.
Aug 2026 · ffnn.vercel.app · its alternatives →
8
KANN – mid-scale deep learning and autodiff in ANSI C (4 files; 4k LOC)▲5
A lightweight C library for artificial neural networks - attractivechaos/kann
2018 · github.com · its alternatives →
9
Modular Diffusion – A modular Python library for diffusion models▲40
Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code. The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process…
2023 · github.com · its alternatives →
10
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 →
11
LinkingMem — Graph-native RAG Engine▲11
LinkingMem — Graph-native RAG Engine
Jun 2026 · its alternatives →
12
Tensorflow Implementation of Graph Convolutional Network▲5
Tensorflow implementation of Graph Convolutional Network - shagunsodhani/pregel
2017 · github.com · its alternatives →
13
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 →
14AL
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 →
15SO
Self-organizing map learning visualization in WebGL▲15
2018 · j4nw.github.io · its alternatives →
16
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 →
17
Diffulab, a library to train diffusion models from scratch▲10
Lately a friend of mine has been working on a personal project and I wanted to share it. The goal of Diffulab is to provide a flexible and modular framework for training diffusion models from scratch. The project is still in its early stages, and he is actively working on adding new features and improvements.
2025 · github.com · its alternatives →
18
Deep learning without gradient descent, 500 layers, no skip connections▲5
Code that reproduces experiments from a scientific paper - xolod7/polyharmonic-cascade
Jan 2026 · github.com · its alternatives →
19BH
Beating Hinton et al.'s capsule net with fewer params and less training▲14
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 →
20
Embeddable HNSW Library for Go▲11
Frustrated by the inability to play with semantic search / ANN in Go w/o a heavy-weight external DB, I created this HNSW library. I hope other gophers find it useful.
2024 · github.com · its alternatives →
21
I presented a novel efficient streaming algorithm▲12
This paper has been accepted to KDD2025.
2025 · github.com · its alternatives →
22
LinkingMem - v0.3.0▲10
LinkingMem — Graph-native RAG Engine
Jul 2026 · linking-mem.vercel.app · its alternatives →
23
An Embedding-Based Search Service over ShowHN, AskHN, GitHub, More▲7
Hey folks, Elias here. Excited to unveil my latest project. Why I Built This: Traditional keyword search isn't cutting it. I've used LLM-embeddings to provide more nuanced, relevant results. How It Works: LLM-embedding similarity on curated datasets for semantically similar results. No need to iterate over keywords any more. Current Datasets: - YC Companies - Show HN Posts, - Ask HN Posts - ProductHunt Startups - Github Top 200k Repos Use Cases: - Validate a product idea's existence - Check if someone already Asked HN something - Have fun - search random terms and see what pops up Want to…
2023 · payperrun.com · its alternatives →
24PF
Playground for comparing embedding models on Wikipedia+book retrieval▲5
Introducing embeds.ai: an embedding playground to compare how embedding models work on a real world use case (retrieval augmented generation for Wikipedia articles + Elad Gil's High growth handbook) A few weeks ago, Shreyan and I were looking for an embedding model to use for RAG. We eventually came across the MTEB leaderboard, but we struggled to understand the benchmark scores. We wanted a tool to test various embedding models with example queries on real-world datasets. After unsuccessfully looking for such a “playground”, we decided to just build one ourselves! We embedded HuggingFace’s…
2023 · embeds.ai · 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 →