Alternatives and similar repositories for neural-graphs

Users that are interested in neural-graphs are comparing it to the libraries listed below

• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆90Updated 2 years ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆38Updated last year
• google-deepmind / digraph_transformer
  ☆121Updated 2 years ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆92Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆86Updated 2 years ago
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• hamed1375 / Exphormer
  Exphormer: Sparse Transformer for Graphs
  ☆187Updated last year
• requeima / llm_processes
  ☆67Updated 8 months ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆80Updated last year
• CameronDiao / relational-transformer
  ☆35Updated 2 years ago
• skeletondyh / GRED
  [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning
  ☆15Updated last year
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated last year
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆125Updated 2 years ago
• april-tools / gekcs
  How to Turn Your Knowledge Graph Embeddings into Generative Models
  ☆53Updated last year
• lsj2408 / Graphormer-GD
  [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
  ☆105Updated 2 years ago
• chenweize1998 / fully-hyperbolic-nn
  Code for paper Fully Hyperbolic Neural Networks
  ☆86Updated 2 years ago
• gnobitab / ConstrainedDiffusionBridge
  ☆14Updated 2 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆161Updated 2 years ago
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• ling-pan / GAFN
  ☆25Updated last year
• xiaoiker / Awesome-Hyperbolic-NeuralNetworks
  Papers and Codes for the deep learning in hyperbolic space
  ☆185Updated 3 years ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆84Updated 2 years ago
• autonomousvision / akorn
  [ICLR'25] Artificial Kuramoto Oscillatory Neurons
  ☆106Updated last month
• BorgwardtLab / NeuralWalker
  Official Pytorch implementation of NeuralWalker (ICLR 2025)
  ☆38Updated 5 months ago
• Graph-COM / HEPT
  [ICML 2024 Oral] LSH-Based Efficient Point Transformer (HEPT)
  ☆24Updated 10 months ago
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆59Updated 2 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated 2 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago
• jeongwhanchoi / GFSA
  "Graph Convolutions Enrich the Self-Attention in Transformers!" NeurIPS 2024
  ☆27Updated 9 months ago