Alternatives and similar repositories for Graph-Condensation-Papers

Users that are interested in Graph-Condensation-Papers are comparing it to the libraries listed below

• sktsherlock / TAG-Benchmark
  Benchmark
  ☆98Updated last year
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆32Updated 6 months ago
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆28Updated 9 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
• Newiz430 / Pretext
  Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
  ☆30Updated last week
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆43Updated 4 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…
  ☆35Updated 6 months ago
• Nashchou / MultiGPrompt
  ☆22Updated 7 months ago
• JiaruiFeng / TAGLAS
  An atlas of text-attributed graph datasets in the era of large graph and language model.
  ☆53Updated 4 months ago
• Frostland12138 / Awesome-Graph-Scaling
  ☆19Updated last month
• W-rudder / TEA-GLM
  ☆26Updated 5 months ago
• LuckyTiger123 / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆22Updated last year
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆43Updated 2 years ago
• NineAbyss / GLBench
  The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…
  ☆58Updated 6 months ago
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆31Updated 3 months 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
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• yongduosui / AIA
  [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…
  ☆17Updated last year
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆33Updated 5 months ago
• NYUSHCS / GAugLLM
  Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)
  ☆26Updated 10 months ago
• zjunet / GraphAdapter
  ☆26Updated last year
• XweiQ / Benchmark-GraphFairness
  The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)
  ☆11Updated 6 months ago
• ivam-he / PSHGCN
  ☆18Updated 4 months ago
• bigheiniu / GRENADE
  GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs
  ☆14Updated 4 months ago
• Amanda-Zheng / SFGC
  Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"
  ☆31Updated last year
• QueuQ / SSM
  ☆10Updated 6 months ago
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆78Updated last year
• smufang / fewshotgraph
  Awesome Few-Shot Learning on Graphs
  ☆15Updated 2 weeks ago
• kaize0409 / S-3-CL
  PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)
  ☆25Updated 3 months ago
• RingBDStack / GC-Bench
  An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)
  ☆17Updated 9 months ago