Alternatives and similar repositories for chebnet

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

• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆96Updated last month
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆116Updated 4 months ago
• qbxlvnf11 / graph-neural-networks-for-graph-classification
  Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
  ☆111Updated 4 years ago
• ivam-he / ChebNetII
  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
  ☆41Updated last year
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆38Updated last year
• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆265Updated 2 years ago
• Yangyeeee / SGAT
  ☆44Updated 4 years ago
• jiangqn / GCN-GAN-pytorch
  A pytorch implemention of GCN-GAN for temporal link prediction.
  ☆105Updated 5 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆93Updated 3 years ago
• sunxiaobei / awesome-attention-based-gnns
  A collection of resources on attention-based graph neural networks
  ☆77Updated last year
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆84Updated 8 months ago
• ronghangzhu / CensNet
  ☆69Updated 3 years ago
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆86Updated 10 months ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆52Updated last year
• snap-stanford / roland
  ☆136Updated last year
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆48Updated last year
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆38Updated last year
• liutongyang / GraphGAN-pytorch
  (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55
  ☆45Updated 5 years ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆64Updated last year
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆47Updated 11 months ago
• danielegrattarola / SRC
  Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
  ☆62Updated 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/…
  ☆95Updated 2 years ago
• matthew-hirn / magnet
  MagNet graph convolutional network
  ☆40Updated last year
• ki-ljl / PyG-GCN
  PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…
  ☆67Updated 2 years ago
• CongWeilin / GraphMixer
  ☆101Updated last year
• armanihm / GDC
  Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
  ☆61Updated 4 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆41Updated 4 years ago
• asFeng / kergnns
  ☆30Updated 3 years ago
• fry325 / GCN_GAT_reproduce
  reproduce two famous GNN model, GCN and GAT
  ☆24Updated 3 years ago
• XiaoxinHe / Graph-ViT-MLPMixer
  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
  ☆163Updated last year