fedem96 / NeuralNetworksOnGraphs

Related projects ⓘ

Alternatives and complementary repositories for NeuralNetworksOnGraphs

• COMPiLELab / HyperND
  The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
  ☆13Updated 2 years ago
• YuGuangWang / HaarPool
  PyTorch Codes for Haar Graph Pooling
  ☆11Updated last year
• crisostomi / metric-few-shot-graph
  Few-Shot Graph Classification via distance metric learning.
  ☆20Updated 8 months ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆20Updated 6 months ago
• divelab / sopool
  Second-Order Pooling for Graph Neural Networks
  ☆15Updated 4 years ago
• alessant / HEE
  ☆10Updated last year
• BorgwardtLab / fisher_information_embedding
  Official code for Fisher information embedding for node and graph learning (ICML 2023)
  ☆18Updated last year
• haguettaz / ChebLieNet
  ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
  ☆15Updated 3 months ago
• mvijaikumar / HyperTeNet
  ☆12Updated 3 years ago
• sjoshi804 / sas-data-efficient-contrastive-learning
  Official Code for ICML 2023 Data-Efficient Contrastive Self-supervised Learning
  ☆30Updated 7 months ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆36Updated last year
• delta2323 / GB-GNN
  Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
  ☆13Updated 4 years ago
• G-Taxonomy-Workgroup / GTaxoGym
  Taxonomy of Benchmarks in Graph Representation Learning
  ☆17Updated last year
• phython96 / ARGNP
  Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR2022 Oral)
  ☆25Updated 7 months ago
• stathius / sd-vae
  Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"
  ☆14Updated last year
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• FilippoMB / Total-variation-graph-neural-networks
  Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
  ☆20Updated 9 months ago
• thudzj / NEigenmaps
  ☆11Updated 8 months ago
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆29Updated last year
• OneForward / ResMHGNN
  Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).
  ☆18Updated 3 years ago
• lrnzgiusti / can
  Official repository for Cell Attention Networks
  ☆14Updated 10 months ago
• guoji-fu / GSDN
  The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"
  ☆23Updated 4 years ago
• WanyuGroup / CVPR2022-OrphicX
  Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…
  ☆34Updated 2 years ago
• spcl / smoe
  Spatial Mixture-of-Experts
  ☆19Updated last year
• psteinb / sota_on_uncertainties
  trying to obtain uncertainties from training accuracies using timm
  ☆9Updated 2 years ago
• sumitramalagi / Unseen-classes-at-a-later-time
  ☆13Updated 2 years ago
• SherylHYX / GNNRank
  Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
  ☆52Updated last year
• Kennethborup / self_distillation
  Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression
  ☆17Updated 3 years ago
• yaolu-zjut / Dynamic-Graphs-Construction
  Official Codes
  ☆18Updated last year
• tbh-98 / Hypergraph-MLP
  ☆12Updated 10 months ago