Alternatives and similar repositories for Set2Box

Users that are interested in Set2Box are comparing it to the libraries listed below

• young917 / MiDaS
  WWW22 - MiDaS: Representative Hypergraph Sampling
  ☆13Updated last year
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated last month
• susheels / gnns-and-local-assortativity
  This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…
  ☆32Updated 4 years ago
• young917 / EdgeDependentNodeLabel
  KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
  ☆19Updated last year
• zjzijielu / gnn-positional-structural-node-features
  Official repository of "On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs", CIKM 2022
  ☆18Updated 3 years ago
• kswoo97 / pcl
  Published as a journal paper at DAMI 2023
  ☆18Updated 11 months ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 4 years ago
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 4 years ago
• RPaolino / fLode
  ☆18Updated 2 years ago
• K-Kyungho / PET
  Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24 Short)
  ☆21Updated last year
• wooner49 / TriCL
  I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)
  ☆39Updated last year
• kswoo97 / hypeboy
  Published as a conference paper at ICLR 2024
  ☆28Updated last year
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 4 years ago
• zhongyu1998 / PG-GNN
  Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"
  ☆27Updated 3 years ago
• RingBDStack / PASTEL
  Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"
  ☆15Updated 2 years ago
• yifeiwang77 / DGC
  Official Code of Decoupled Graph Convolution (DGC)
  ☆16Updated 4 years ago
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• ispamm / MATE
  MetA-Train to Explain
  ☆18Updated 3 years ago
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 5 years ago
• PurdueMINDS / size-invariant-GNNs
  Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
  ☆23Updated 3 years ago
• nigelnnk / FairGAD
  Analysing fairness of graph anomaly detection methods
  ☆12Updated last year
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 4 years ago
• snap-research / non-contrastive-link-prediction
  [ICLR 2023] Link Prediction with Non-Contrastive Learning
  ☆26Updated 3 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆46Updated 5 years ago
• ShinhwanKang / BeGin
  Easy-to-use framework for graph continual learning with Python
  ☆37Updated last year
• xiongbo010 / QGCN
  PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
  ☆17Updated last year
• mlvlab / SELAR
  Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.
  ☆55Updated 4 years ago
• LFhase / GMT
  [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?
  ☆15Updated last year
• CUAI / Edge-Proposal-Sets
  Edge Proposal Sets for Link Prediction (https://arxiv.org/abs/2106.15810)
  ☆23Updated 2 years ago
• mtang724 / NWR-GAE
  ☆41Updated 3 years ago