Alternatives and similar repositories for kergnns

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

• bdy9527 / FAGCN
  ☆101Updated 4 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆95Updated 3 years ago
• flyingdoog / PTDNet
  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
  ☆82Updated 4 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 9 months ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆61Updated 4 years ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆107Updated 7 months ago
• hedongxiao-tju / HOG-GCN
  ☆38Updated 4 years ago
• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆277Updated 3 years ago
• jianhao2016 / GPRGNN
  ☆139Updated 2 years ago
• snap-stanford / CAW
  ☆79Updated 3 years ago
• jhljx / CTGCN
  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…
  ☆94Updated this week
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆92Updated 4 years ago
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆59Updated 4 years ago
• Yangyeeee / SGAT
  ☆46Updated 4 years ago
• hengruizhang98 / mvgrl
  DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
  ☆68Updated 2 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆144Updated 3 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆89Updated 4 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆39Updated last year
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆24Updated 3 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆35Updated 4 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆88Updated last year
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆342Updated last year
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆59Updated 2 years ago
• flyingdoog / PGExplainer
  Parameterized Explainer for Graph Neural Network
  ☆142Updated last year
• Graph-COM / GSAT
  [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
  ☆173Updated last year
• yanghu819 / Graph-MLP
  ☆77Updated 4 years ago
• alge24 / DyGNN
  ☆65Updated 5 years ago
• yuwvandy / G2GNN
  ☆45Updated 2 years ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated last year
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆72Updated 3 years ago