Alternatives and similar repositories for FeTA_TMLR:

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

• SwiftieH / SpGAT
  Spectral Graph Attention Network with Fast Eigen-approximation
  ☆11Updated 3 years ago
• xiongbo010 / QGCN
  PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
  ☆17Updated 8 months ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated last year
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• ubc-systopia / CATWalk
  CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.
  ☆13Updated last year
• COMPiLELab / HyperND
  The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
  ☆13Updated 2 years ago
• zetayue / CPA
  Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
  ☆17Updated 8 months ago
• FilippoMB / Total-variation-graph-neural-networks
  Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.
  ☆20Updated 2 weeks ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆21Updated 11 months ago
• RingBDStack / ACE-HGNN
  Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”
  ☆15Updated 3 years ago
• DeepGraphLearning / SPN
  ☆29Updated 2 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆36Updated last year
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆14Updated last year
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• YuGuangWang / HaarPool
  PyTorch Codes for Haar Graph Pooling
  ☆11Updated 2 years ago
• stefaniaebli / dmt-signal-processing
  Signal compression and reconstruction on complexes preserving topological features via Discrete Morse Theory
  ☆11Updated 2 years ago
• naganandy / G-MPNN-R
  ☆13Updated 4 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated last year
• MarcTLaw / UltrahyperbolicRepresentation
  Ultrahyperbolic Representation Learning
  ☆12Updated 4 years ago
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 2 years ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 3 years ago
• zknus / Robustness-of-Graph-Neural-Diffusion
  On the Robustness of Graph Neural Diffusion to Topology Perturbations
  ☆15Updated 2 years ago
• yxzwang / PhenomNN
  Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks
  ☆21Updated last year
• qslim / gnn-spectrum
  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
  ☆17Updated 2 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 3 years ago
• LFhase / GMT
  [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?
  ☆11Updated 9 months ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆34Updated 4 years ago
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 4 years ago
• tbh-98 / Hypergraph-MLP
  ☆16Updated last year
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆47Updated 2 years ago