Alternatives and similar repositories for ChebyNet:

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

• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆89Updated 3 weeks ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆113Updated 2 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆36Updated 9 months ago
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆36Updated last year
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆61Updated last year
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆42Updated 6 months ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated 8 months ago
• yanghu819 / Graph-MLP
  ☆76Updated 3 years ago
• ivam-he / ChebNetII
  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
  ☆34Updated last year
• JC-202 / CAGNN
  ☆15Updated last year
• sunxiaobei / awesome-attention-based-gnns
  A collection of resources on attention-based graph neural networks
  ☆63Updated last year
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆76Updated 3 months ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆94Updated last year
• ronghangzhu / CensNet
  ☆68Updated 2 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆49Updated last year
• bdy9527 / FAGCN
  ☆95Updated 3 years ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆121Updated 11 months ago
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆20Updated 2 years ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆53Updated last year
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆83Updated 3 months ago
• LuckyTiger123 / DropMessage
  The implementation for DropMessage.
  ☆24Updated last year
• null-xyj / CoBFormer
  Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
  ☆39Updated 8 months ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆101Updated 2 years ago
• GitEventhandler / H2GCN-PyTorch
  A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…
  ☆34Updated 2 years ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆55Updated 2 years ago
• cszhangzhen / MVPool
  Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
  ☆23Updated 2 years ago
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆51Updated last year
• hedongxiao-tju / HOG-GCN
  ☆37Updated 3 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆87Updated 3 years ago
• qwerfdsaplking / Graph-Trans
  A graph transformer framework
  ☆77Updated 2 years ago