Alternatives and similar repositories for Hipe

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

• chistopher / girgs
  Linear-time sampling algorithm for geometric inhomogeneous random graphs with a special case implementation for hyperbolic random graphs.
  ☆15Updated last year
• idiap / nvib
  ☆10Updated 6 months ago
• msmathcomp / hyperbolic-tsne
  Experiments and content for the "Accelerating hyperbolic t-SNE" paper.
  ☆15Updated last year
• gasteigerjo / gtn
  Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…
  ☆15Updated 2 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• priba / graph_metric.pytorch
  Graph Metric Learning in PyTorch
  ☆10Updated 4 years ago
• HanbaekLyu / NNetwork
  Custom graph/network/multi-weighted network class based on storing list of neighbors for each nodes (as opposed to edge list) for scalabl…
  ☆12Updated last year
• chrsmrrs / SpeqNets
  ☆11Updated 2 years ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆15Updated 2 years ago
• gasteigerjo / lcn
  Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …
  ☆19Updated 2 years ago
• MarcTLaw / LorentzianDistanceRetrieval
  Lorentzian Distance Learning for Hyperbolic Representations: Retrieval experiments
  ☆13Updated 6 years ago
• lmotte / graph-prediction-with-fused-gromov-wasserstein
  Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…
  ☆14Updated 3 years ago
• noamrazin / gnn_interactions
  Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
  ☆25Updated 2 years ago
• TAU-MLwell / Set-Tree
  Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)
  ☆10Updated 3 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 3 years ago
• geon0325 / Set2Box
  Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."
  ☆14Updated 2 years ago
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• milenagazdieva / U-NOTBarycenters
  PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)
  ☆12Updated 3 months ago
• young917 / MiDaS
  WWW22 - MiDaS: Representative Hypergraph Sampling
  ☆12Updated last year
• YuGuangWang / HaarPool
  PyTorch Codes for Haar Graph Pooling
  ☆11Updated 2 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated 2 years ago
• AdrianArnaiz / DiffWire
  DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…
  ☆19Updated 2 years ago
• clementchadebec / geometric_perspective_on_vaes
  Code of "A Geometric Perspective on Variational Autoencoders" (NeurIPS 2022)
  ☆14Updated 11 months ago
• OliverVipond / Multiparameter_Persistence_Landscapes
  Python functions to compute multiparameter persistence landscapes from a RIVET file
  ☆14Updated last year
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆37Updated 5 years ago
• gear / graph-homomorphism-network
  Graph Homomorphism Convolution (ICML'20)
  ☆11Updated 2 years ago
• RPaolino / loopy
  ☆11Updated last year
• cedricvincentcuaz / GDL
  Code for Online Graph Dictionary Learning
  ☆18Updated 3 years ago
• zjzijielu / gnn-positional-structural-node-features
  Official repository of "On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs", CIKM 2022
  ☆18Updated 3 years ago
• Genentech / GraphGUIDE
  ☆12Updated 2 years ago