Alternatives and similar repositories for PolyFilterPlayground

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

• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆326Updated 3 weeks ago
• yuziGuo / ClenshawGNN
  ☆11Updated 2 years ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆101Updated last year
• SitaoLuan / LLM4Graph
  ☆178Updated last year
• Juanhui28 / HeaRT
  ☆56Updated 9 months ago
• ivam-he / PSHGCN
  ☆19Updated 6 months ago
• zhongjian-zhang / LLM4RGNN
  A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)
  ☆22Updated last month
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆37Updated last year
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆262Updated 7 months ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆119Updated 2 years ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆225Updated last year
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆144Updated 4 months ago
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆240Updated last month
• XiaoxinHe / TAPE
  Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…
  ☆233Updated 3 months ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆123Updated 2 years ago
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆278Updated last year
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆32Updated 11 months ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆165Updated 2 years ago
• squareRoot3 / GraphArena
  "GraphArena: Evaluating and Exploring Large Language Models on Graph Computation" in ICLR 2025
  ☆23Updated 4 months ago
• myflashbarry / LLM-benchmarking
  ☆13Updated 4 months ago
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆32Updated 5 months ago
• zylMozart / Disentangle_GraphHom
  [Neurips 2024] Disentangled Graph Homophily
  ☆26Updated 5 months ago
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆45Updated 6 months ago
• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆327Updated last year
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆138Updated last year
• W-rudder / TEA-GLM
  ☆33Updated 7 months ago
• ckldan520 / DDGCL
  code for "Self-supervised representation learning on dynamic graphs"
  ☆26Updated 3 years ago
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆208Updated 8 months ago
• XYGaoG / Graph-Condensation-Papers
  Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.
  ☆44Updated 2 weeks ago
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆200Updated last month