Alternatives and similar repositories for ClenshawGNN

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

• yuziGuo / PolyFilterPlayground
  ☆14Updated 10 months ago
• zheng-yp / InstantGNN
  Instant Graph Neural Networks for Dynamic Graphs
  ☆11Updated 2 years ago
• ivam-he / PSHGCN
  PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."
  ☆19Updated 9 months ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆57Updated 2 years ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆120Updated 2 years ago
• LUMIA-Group / OrderedGNN
  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).
  ☆46Updated last year
• YuxiaWu / SimpleDyG
  [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"
  ☆31Updated last year
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆263Updated 10 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆150Updated 7 months ago
• GitEventhandler / H2GCN-PyTorch
  A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…
  ☆39Updated 3 years ago
• Newiz430 / Bandana
  [WWW'24] Masked Graph Autoencoder with Non-discrete Bandwidths
  ☆12Updated last year
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆73Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆86Updated 10 months ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆125Updated 3 years ago
• JC-202 / CAGNN
  ☆16Updated 2 years ago
• Yiminghh / HiGCN
  ☆21Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆133Updated last year
• ICT-GIMLab / SeHGNN
  ☆119Updated 2 years ago
• jianhao2016 / GPRGNN
  ☆136Updated 2 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆115Updated 6 months ago
• ChenJY-Count / PolyGCL
  PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"
  ☆15Updated last year
• QueuQ / CGLB
  ☆59Updated 11 months ago
• GraphPKU / NeuralCommonNeighbor
  ☆48Updated last year
• doujiang-zheng / Dynamic-Temporal-Graph-Learning-Reading-List
  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
  ☆61Updated last year
• zylMozart / Disentangle_GraphHom
  [Neurips 2024] Disentangled Graph Homophily
  ☆26Updated 8 months ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆266Updated 2 years ago
• mala-lab / GGAD
  Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
  ☆58Updated 2 months ago
• Leirunlin / EvenNet
  Pytorch implementation of EvenNet.
  ☆20Updated 2 years ago
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆36Updated 2 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆56Updated last year