Alternatives and similar repositories for GTaxoGym

Users that are interested in GTaxoGym are comparing it to the libraries listed below

• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆58Updated last year
• CharlotteMagister / GCExplainer
  ☆18Updated last year
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆29Updated 3 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆51Updated 5 months ago
• BorgwardtLab / MotiFiesta
  Approximate subgraph motif mining through learnable edge contraction.
  ☆13Updated last year
• google-research / graph-attribution
  Codebase for Evaluating Attribution for Graph Neural Networks.
  ☆81Updated 4 years ago
• noamrazin / gnn_interactions
  Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
  ☆25Updated last year
• tufts-ml / graph-generation-vi
  This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…
  ☆29Updated 3 weeks ago
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆79Updated 3 years ago
• batu-el / understanding-inductive-biases-of-gnns
  Geometric Deep Learning @ University of Cambridge
  ☆24Updated 3 months ago
• amorehead / awesome-equivariant-network
  Paper list for equivariant neural network
  ☆10Updated 3 years ago
• toenshoff / CRaWl
  ☆24Updated last year
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated last year
• karl-zhao / benchmarking-gnns-pyg
  ☆31Updated 2 years ago
• rsonthal / TreeRep
  Learning Tree structures and Tree metrics
  ☆23Updated 10 months ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• ibm-research-tokyo / graph_grammar
  Code for "Molecular Hypergraph Grammar with Its Application to Molecular Optimization"
  ☆39Updated 6 months ago
• andreeadeac22 / graph_coattention
  Work on designing a graph co-attention algorithm.
  ☆18Updated last year
• omri1348 / LRGA
  Low Rank Global Attention for Graph Neural Networks
  ☆12Updated 4 years ago
• leichen2018 / Ring-GNN
  ☆12Updated 5 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated last year
• uoguelph-mlrg / GGM-metrics
  Official repository for the paper "On Evaluation Metrics for Graph Generative Models"
  ☆25Updated 3 years ago
• lucidrains / geometric-vector-perceptron
  Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…
  ☆74Updated 4 years ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 5 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 3 years ago
• lucidrains / molecule-attention-transformer
  Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules
  ☆59Updated 4 years ago
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆21Updated last year
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 5 years ago
• HekpoMaH / algorithmic-concepts-reasoning
  ☆25Updated 3 years ago