Alternatives and similar repositories for Extended-SimGNN

Users that are interested in Extended-SimGNN are comparing it to the libraries listed below

• yunshengb / GraphSim
  ☆56Updated 5 years ago
• russellizadi / ssp
  ☆96Updated 2 years ago
• yunshengb / SimGNN
  ☆152Updated 6 years ago
• cszhangzhen / H2MN
  H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
  ☆57Updated 3 years ago
• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆201Updated 4 years ago
• Lin-Yijie / Graph-Matching-Networks
  PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Mat…
  ☆314Updated last year
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 5 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆101Updated 5 years ago
• tech-srl / how_attentive_are_gats
  Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
  ☆350Updated 3 years ago
• Nate1874 / StructPool
  The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
  ☆58Updated 5 years ago
• leftthomas / DGCNN
  A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
  ☆65Updated 2 years ago
• ucbrise / graphtrans
  Representing Long-Range Context for Graph Neural Networks with Global Attention
  ☆129Updated 3 years ago
• yunshengb / UGraphEmb
  ☆49Updated 6 years ago
• ryderling / MGMN
  Code for "Multilevel Graph Matching Networks for Deep Graph Similarity Learning"
  ☆45Updated 4 years ago
• idea-iitd / greed
  official repo for the NeurIPS 2022 paper "GREED: A Neural Framework for Learning Graph Distance Functions"
  ☆29Updated 2 years ago
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆342Updated 4 years ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆190Updated 3 years ago
• malllabiisc / HyperGCN
  NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
  ☆209Updated 5 years ago
• vijaydwivedi75 / gnn-lspe
  Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
  ☆264Updated 3 years ago
• Yangyeeee / SGAT
  ☆44Updated 4 years ago
• gmum / geo-gcn
  The official implementation of the SGCN architecture.
  ☆63Updated 3 years ago
• inria-thoth / GraphiT
  Official Pytorch Implementation of GraphiT
  ☆109Updated 4 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆42Updated 5 years ago
• liutongyang / GraphGAN-pytorch
  (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55
  ☆46Updated 5 years ago
• shionhonda / gae-dgl
  Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
  ☆63Updated 2 years ago
• dongkwan-kim / SuperGAT
  [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
  ☆159Updated 2 years ago
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆273Updated 2 years ago
• FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
  Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…
  ☆276Updated 7 months ago
• qwerfdsaplking / Graph-Trans
  A graph transformer framework
  ☆77Updated 3 years ago
• Erfaan-Rostami / Hypergraph-and-Graph-Neural-Network-HGNN-GNN--
  Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecul…
  ☆56Updated last year