Alternatives and similar repositories for Higher-Order-Network

Users that are interested in Higher-Order-Network are comparing it to the libraries listed below

• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆73Updated 3 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 8 months ago
• lcosmo / DGM_pytorch
  ☆55Updated 3 years ago
• luoyuanlab / SHINE
  NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork
  ☆19Updated 2 years ago
• SitaoLuan / When-Do-GNNs-Help
  Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…
  ☆21Updated last year
• meettyj / NOSMOG
  Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".
  ☆33Updated 2 years ago
• divelab / LGLP
  ☆21Updated 4 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆44Updated 5 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆57Updated last year
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆87Updated last year
• davidbuterez / gnn-neural-readouts
  ☆27Updated 10 months ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆101Updated this week
• RManLuo / GSNOP
  Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  ☆34Updated 2 years ago
• ivam-he / ChebNetII
  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
  ☆40Updated 2 years ago
• Eilene / GraphHeat
  A TensorFlow implementation of GraphHeat
  ☆16Updated 5 years ago
• LUMIA-Group / OrderedGNN
  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).
  ☆47Updated last year
• GitEventhandler / H2GCN-PyTorch
  A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…
  ☆39Updated 3 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆48Updated last year
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆48Updated last year
• azminewasi / Awesome-Graph-Research-ICLR2024
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆101Updated last year
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆55Updated 2 years ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆105Updated 5 months ago
• RinneSz / GMAE
  Graph Masked Autoencoders
  ☆28Updated 3 years ago
• RingBDStack / SE-GSL
  The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"
  ☆14Updated 2 years ago
• yh-yao / InterpretableClustering
  ☆24Updated last year
• zhiqiangzhongddu / SELENE
  [TMLR] Unsupervised Network Embedding Beyond Homophily (https://arxiv.org/abs/2203.10866) Resources
  ☆11Updated 2 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆33Updated 4 years ago
• RiemannGraph / MotifRGC
  Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
  ☆19Updated last year
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆58Updated 2 years ago
• sunilkmaurya / FSGNN
  ☆32Updated 2 years ago