Build Graph Nets in Tensorflow
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Updated
Dec 12, 2022 - Python
Build Graph Nets in Tensorflow
An environmental monitoring and regulation system
StellarGraph - Machine Learning on Graphs
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
Software engineering cheat sheet
TypeDB-ML is the Machine Learning integrations library for TypeDB
Graph Signal Processing in Python
yet another tool for analysing binaries
GraphBLAS for Python
Analyze Data with Pandas-based Networks. Documentation:
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Visualize disk space and disk usage in your UNIX\Linux terminal
Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
peartree: A library for converting transit data into a directed graph for sketch network analysis.
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