Alternatives and similar repositories for Graph-Topological-Data-Analysis

Users that are interested in Graph-Topological-Data-Analysis are comparing it to the libraries listed below

• cambridge-mlg / jolt
  ☆11Updated 5 months ago
• pauljblazek / deepdistilling
  Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new …
  ☆90Updated last year
• pchlenski / manify
  A Python Library for Learning Non-Euclidean Representations
  ☆54Updated this week
• arangoml / fastgraphml
  Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
  ☆68Updated last year
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• ml-jku / hopfield-boosting
  ☆31Updated last year
• pyt-team / TopoEmbedX
  Representation Learning on Topological Domains
  ☆81Updated last week
• team-daniel / MC-CP
  All the material needed to use MC-CP and the Adaptive MC Dropout method
  ☆24Updated last month
• LeonResearch / City-Networks
  Quantifying long-range dependency in GNN: a large-scale dataset and a measurement.
  ☆14Updated last month
• ronakrm / demd
  Efficient Computation of d-Dimensional Earth Mover's Distance
  ☆9Updated last year
• tgebhart / sheaf_kg
  ☆10Updated 2 years ago
• hypergraphlab / Hypergraph-Tutorial
  ☆59Updated 11 months ago
• pyt-team / tdlbook
  ☆31Updated 11 months ago
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆38Updated 11 months ago
• adalmia96 / umap-mnn
  ☆23Updated 3 years ago
• rapidsai / nx-cugraph
  GPU Accelerated Backend for NetworkX
  ☆69Updated last week
• joisino / laf
  Code for "Training-free Graph Neural Networks and the Power of Labels as Features" (TMLR 2024)
  ☆58Updated 11 months ago
• ThrunGroup / maptree
  ☆39Updated last year
• sdascoli / boolformer
  ☆163Updated last year
• ejmichaud / precision-ml
  ☆13Updated 2 years ago
• aidos-lab / TARDIS
  TARDIS: Topological Algorithms for Robust DIscovery of Singularities
  ☆43Updated last year
• dgg32 / bayesian_kg
  ☆24Updated 2 years ago
• dario-vazquez-albacete / GraphSupplyChain
  This project showcases a comprehensive analysis of CO2 emissions in a fictitious cheese manufacturing supply chain using both graph datab…
  ☆10Updated 10 months ago
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 6 months ago
• Rose-STL-Lab / Multi-Fidelity-Deep-Active-Learning
  ☆15Updated 2 years ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆56Updated 3 weeks ago
• amair-lab / PiFlow
  [preprint] PiFlow: Principle-aware Scientific Discovery with Multi-Agent Collaboration
  ☆22Updated this week
• Harshs27 / neural-graphical-models
  Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling
  ☆29Updated last year
• jmtomczak / vae_kan_example
  A simple example of VAEs with KANs
  ☆12Updated last year
• berenslab / iclr-dataset
  ICLR dataset
  ☆32Updated 3 weeks ago