Alternatives and similar repositories for SGRL

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

• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆222Updated 11 months ago
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆63Updated last year
• bowang-lab / Graph-Mamba
  Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
  ☆315Updated last year
• Zehong-Wang / Awesome-Foundation-Models-on-Graphs
  A collection of graph foundation models including papers, codes, and datasets.
  ☆121Updated 3 months ago
• YuanchenBei / Awesome-Graph-Structure-Learning
  A curated list of papers on graph structure learning (GSL).
  ☆50Updated 9 months ago
• mm-graph-benchmark / mm-graph-benchmark
  ☆32Updated last year
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆56Updated last year
• GraphMamba / GMN
  ☆121Updated last year
• Graph-and-Geometric-Learning / hyperbolic-transformer
  ☆35Updated 2 months ago
• THUDM / GraphMAE2
  GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
  ☆169Updated 2 years ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆49Updated last year
• GSL-Benchmark / Awesome-Graph-Structure-Learning
  A curated list of awesome graph structure learning approaches
  ☆39Updated 11 months ago
• null-xyj / CoBFormer
  Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
  ☆46Updated last year
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆85Updated last year
• GSL-Benchmark / GSLB
  A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
  ☆120Updated last year
• azminewasi / Awesome-Graph-Research-ICLR2024
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆99Updated 11 months ago
• EdisonLeeeee / GraphSSM
  [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
  ☆15Updated 9 months ago
• CurryTang / Towards-graph-foundation-models
  ☆90Updated 2 years ago
• ivam-he / PSHGCN
  PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."
  ☆19Updated 9 months ago
• sktsherlock / MAGB
  Benchmarking for the attributed graphs
  ☆12Updated 5 months ago
• graphprojects / HyGCL-AdT
  The official source code for HyGCL-AdT that is published to WWW 24.
  ☆12Updated last year
• WxxShirley / LLMNodeBed
  [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"
  ☆62Updated 3 months ago
• iMoonLab / LightHGNN
  Source code for ICLR 2024 "LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference"
  ☆34Updated last year
• zxlearningdeep / InfoMGF
  [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".
  ☆30Updated 8 months ago
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆207Updated 9 months ago
• YuanchenBei / Awesome-Graph-Transfer-Learning
  A curated list of papers on graph transfer learning (GTL).
  ☆17Updated 2 years ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆233Updated last year
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆47Updated 10 months ago
• XiaoxinHe / Graph-ViT-MLPMixer
  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
  ☆165Updated last year
• Ffffffffire / HINormer
  ☆34Updated 2 years ago