Alternatives and similar repositories for WKPI

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

• MysteryVaibhav / RWR-GAE
  Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
  ☆38Updated 2 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆86Updated last year
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆21Updated 3 years ago
• FilippoMB / Benchmark_dataset_for_graph_classification
  Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
  ☆51Updated 9 months ago
• mgao97 / Higher-Order-Network
  ☆17Updated last year
• pydsgz / MGMC
  https://arxiv.org/abs/2005.06935
  ☆12Updated 2 years ago
• armanihm / GDC
  Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
  ☆62Updated 5 years ago
• HongtengXu / gwl
  Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  ☆73Updated 6 years ago
• alge24 / eigenpooling
  An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
  ☆50Updated 6 years ago
• rodrigo-pena / graph-learning
  ☆14Updated 8 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆49Updated last year
• limaosen0 / GXN
  Graph Cross Network
  ☆48Updated 5 years ago
• cmavro / Graph-InfoClust-GIC
  [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
  ☆34Updated 3 years ago
• gear / gfnn
  Graph Filter Neural Network (ICPR'20)
  ☆48Updated 5 years ago
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆125Updated 3 years ago
• davidbuterez / gnn-neural-readouts
  ☆27Updated 11 months ago
• Chen-Cai-OSU / LDP
  LDP for graph classification
  ☆23Updated 6 years ago
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆200Updated last year
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 5 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆125Updated 6 years ago
• mengliu1998 / DL4DisassortativeGraphs
  Papers about developing DL methods on disassortative graphs
  ☆48Updated 3 years ago
• TrustAGI-Lab / ARGA
  This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …
  ☆187Updated 3 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆44Updated 5 years ago
• lcosmo / DGM_pytorch
  ☆55Updated 3 years ago
• 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
• Flawless1202 / VGAE_pyG
  An VGAE implementation using pytorch geometric.
  ☆49Updated 5 years ago
• YH-UtMSB / sigvae-torch
  A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders
  ☆14Updated 5 years ago
• barnesd8 / machine_learning_for_persistence
  ☆11Updated 2 years ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆189Updated 3 years ago
• sigvae / SIGraphVAE
  ☆26Updated 6 years ago