Alternatives and similar repositories for Awesome-Graph-Scaling

Users that are interested in Awesome-Graph-Scaling are comparing it to the libraries listed below

• RingBDStack / SGDD
  Code for SGDD
  ☆25Updated last year
• EnyanDai / RSGNN
  An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
  ☆33Updated 2 years ago
• superallen13 / GCondenser
  ☆12Updated last week
• Amanda-Zheng / SFGC
  Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"
  ☆36Updated last year
• XYGaoG / Graph-Condensation-Papers
  Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.
  ☆43Updated last month
• liuyang-tian / GDEM
  Implementation of ICML'24 Paper "Graph Distillation with Eigenbasis Matching"
  ☆14Updated 11 months ago
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆37Updated last year
• rollingstonezz / Curriculum_learning_for_GNNs
  This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"
  ☆15Updated last year
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆76Updated 9 months ago
• zjunet / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆31Updated last year
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆43Updated 2 years ago
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆34Updated 7 months ago
• kaize0409 / S-3-CL
  PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)
  ☆25Updated 4 months ago
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆31Updated 10 months ago
• zyzisastudyreallyhardguy / Graph-Group-Discrimination
  Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…
  ☆55Updated 2 years ago
• kepsail / SHGP
  NeurIPS 2022 - SHGP
  ☆31Updated last year
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆52Updated 2 years ago
• BUPT-GAMMA / Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning
  Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"
  ☆29Updated 2 years ago
• XweiQ / Benchmark-GraphFairness
  The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)
  ☆12Updated 8 months ago
• LUMIA-Group / OrderedGNN
  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).
  ☆45Updated last year
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆44Updated 6 months ago
• cshhzhao / GCOPE
  Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…
  ☆39Updated 8 months ago
• Emory-Melody / GraphSlim
  A Python library for graph reduction including condensation, coarsening, and sparsification.
  ☆21Updated 2 months ago
• QueuQ / CGLB
  ☆57Updated 7 months ago
• baoyujing / HDMI
  ☆28Updated 4 years ago
• zhongjian-zhang / LLM4RGNN
  A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)
  ☆22Updated 2 weeks ago
• tengxiao1 / GraphACL
  GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
  ☆31Updated last year
• YuanchenBei / Awesome-Self-Supervised-Learning-on-Graphs-with-Heterophily
  A curated list of Heterophilous Graph Self-Supervised Learning papers.
  ☆15Updated 2 years ago
• Skyorca / Awesome-Graph-Domain-Adaptation-Papers
  Published papers focusing on graph domain adaptation, with survey paper online as Domain Adaptation for Graph Representation Learning: Ch…
  ☆44Updated 2 months ago