Alternatives and similar repositories for HOG-Diff

Users that are interested in HOG-Diff are comparing it to the libraries listed below

• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆54Updated last year
• zhangxwww / HyperFusion
  Code for OGB competition
  ☆12Updated last year
• jcchan23 / CoMPT
  Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"
  ☆40Updated 3 years ago
• benatorc / OTGNN
  OTGNN code
  ☆56Updated 5 years ago
• BorgwardtLab / ggme
  Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…
  ☆14Updated 3 years ago
• HySonLab / Multires-Graph-Transformer
  Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures
  ☆23Updated 2 years ago
• gbouritsas / PnC
  Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
  ☆36Updated 4 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated 2 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…
  ☆77Updated 4 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 3 years ago
• cscarv / riemannian-metric-learning-ot
  ☆18Updated 2 years ago
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated 2 years ago
• wuhuaijin / EBMDock
  Official implementation for the paper "EBMDOCK: NEURAL PROBABILISTIC PROTEIN-PROTEIN DOCKING VIA A DIFFERENTIABLE ENERGY-BASED MODEL" (IC…
  ☆14Updated last year
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆22Updated last year
• shamim-hussain / egt
  Edge-Augmented Graph Transformer
  ☆51Updated 3 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated 2 years ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆67Updated 3 years ago
• ggoh29 / Simplicial-neural-network-benchmark
  Simplicial neural network benchmarking software
  ☆17Updated 3 years ago
• asarigun / GraphMixerNetworks
  Official Implementation of Graph Mixer Networks
  ☆20Updated 2 years ago
• batu-el / understanding-inductive-biases-of-gnns
  Geometric Deep Learning @ University of Cambridge
  ☆26Updated 11 months ago
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆62Updated 3 years ago
• omri1348 / LRGA
  Low Rank Global Attention for Graph Neural Networks
  ☆12Updated 5 years ago
• kexinhuang12345 / SkipGNN
  SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
  ☆65Updated 5 years ago
• pyt-team / challenge-icml-2024
  Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…
  ☆43Updated 11 months ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 3 years ago
• rampasek / HGNet
  Hierarchical Graph Net
  ☆37Updated 4 years ago
• BorgwardtLab / fisher_information_embedding
  Official code for Fisher information embedding for node and graph learning (ICML 2023)
  ☆19Updated 2 years ago
• NSAPH-Projects / topological-equivariant-networks
  Code for paper E(n)-Equivariant Topological Neural Networks
  ☆37Updated last year
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year