c-hofer / graph_filtration_learning

Related projects ⓘ

Alternatives and complementary repositories for graph_filtration_learning

• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆117Updated 2 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆57Updated 2 years ago
• cvignac / SMP
  ☆26Updated 3 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆52Updated last year
• jctops / understanding-oversquashing
  ☆41Updated 2 years ago
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators.
  ☆33Updated last year
• DeepGraphLearning / ContinuousGNN
  ☆44Updated 3 years ago
• jliu / graph-normalizing-flows
  Code for Graph Normalizing Flows.
  ☆59Updated 5 years ago
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆85Updated last year
• BenGutteridge / DRew
  ☆30Updated 11 months ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆78Updated 2 months ago
• topology474 / WKPI
  WKPI: A kernel based on persistent homology
  ☆12Updated 4 years ago
• gasteigerjo / gtn
  Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…
  ☆16Updated last year
• barnesd8 / machine_learning_for_persistence
  ☆11Updated last year
• MathieuCarriere / difftda
  Persistence differentiation with Gudhi and Tensorflow
  ☆18Updated last year
• trneedham / gromov-wasserstein-statistics
  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance
  ☆13Updated 4 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆106Updated last year
• DongqiFu / DPPIN
  DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
  ☆27Updated last year
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆51Updated 4 years ago
• tsitsvero / hodgelaplacians
  Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks
  ☆27Updated last year
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 4 years ago
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆45Updated 3 years ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 2 years ago
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆74Updated 3 years ago
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆98Updated last year
• lcosmo / DGM_pytorch
  ☆49Updated 2 years ago
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆115Updated 3 years ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆61Updated 3 months ago
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆54Updated 2 years ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆23Updated 4 years ago