Graph similarity algorithms based on NetworkX.
BSD-3-CLAUSE License
LSiM is a learned metric to compute distance values for 2D data from numerical simulations
TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size
Gene ontology (GO) semantic similarity library for Python
Combinatorial Complex Score-based Diffusion model using stochastic differential equations
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Platform for designing and evaluating Graph Neural Networks (GNN)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Package for local graph clustering
StellarGraph - Machine Learning on Graphs
Implementation of the Cypher language for searching NetworkX graphs
VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations,...
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algo...
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/210...