topology474 / WKPI

Related projects: ⓘ

• pydsgz / MGMC
  https://arxiv.org/abs/2005.06935
  ☆12Updated last year
• MysteryVaibhav / RWR-GAE
  Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
  ☆38Updated last year
• HongtengXu / gwl
  Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  ☆70Updated 5 years ago
• balcilar / Spectral-Designed-Graph-Convolutions
  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
  ☆48Updated 3 years ago
• c-hofer / graph_filtration_learning
  ☆19Updated 3 years ago
• Chen-Cai-OSU / LDP
  LDP for graph classification
  ☆22Updated 4 years ago
• anonymous-sourcecode / GResNet
  Source code of GResNet
  ☆16Updated 4 years ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 2 years ago
• HongtengXu / Relational-Factorization-Model
  Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)
  ☆30Updated last year
• cvignac / SMP
  ☆25Updated 2 years ago
• ppope / explain_graphs
  Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …
  ☆34Updated last month
• FilippoMB / Benchmark_dataset_for_graph_classification
  This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
  ☆46Updated last year
• gear / gfnn
  Graph Filter Neural Network (ICPR'20)
  ☆45Updated 4 years ago
• rodrigo-pena / graph-learning
  ☆14Updated 7 years ago
• PurdueMINDS / RelationalPooling
  ☆35Updated 5 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆39Updated 3 years ago
• divelab / LGLP
  ☆17Updated 3 years ago
• 000Justin000 / ssl_edge
  Code for "Graph-based Semi-Supervised & Active Learning for Edge Flows"
  ☆15Updated 5 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated last year
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆30Updated 3 years ago
• lcosmo / DGM_pytorch
  ☆48Updated 2 years ago
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆24Updated 2 years ago
• GRAND-Lab / MGAE
  Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”
  ☆28Updated 2 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆77Updated 2 weeks ago
• alge24 / eigenpooling
  An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
  ☆46Updated 4 years ago
• TheGravLab / A-Unifying-Framework-for-Spectrum-Preserving-Graph-Sparsification-and-Coarsening
  Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)
  ☆15Updated 4 years ago
• davidbuterez / gnn-neural-readouts
  ☆27Updated last year
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆53Updated 3 years ago
• ndey96 / GCNN-Explainability
  Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories
  ☆74Updated 2 years ago