Alternatives and similar repositories for subsim

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

• Dtrycode / ToupleGDD
  Implementation of "ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning" (https://arxiv.org/abs/2…
  ☆30Updated 3 years ago
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆65Updated last year
• triplej0079 / DeepIM
  ☆46Updated 2 years ago
• lihuixidian / PIANO
  DISCO: Influence Maximization Meets Graph Embedding and Deep Learning (a.k.a. PIANO)
  ☆15Updated 3 years ago
• tangj90 / OPIM
  SIGMOD 2018: Online Processing Algorithms for Influence Maximization
  ☆24Updated 7 years ago
• EnyanDai / RSGNN
  An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
  ☆34Updated 3 years ago
• EdisonLeeeee / Awesome-Fair-Graph-Learning
  Paper List for Fair Graph Learning (FairGL).
  ☆144Updated last year
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆123Updated 3 years ago
• YuxiaWu / SimpleDyG
  [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"
  ☆34Updated last year
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆287Updated 2 years ago
• thupchnsky / sgc_unlearn
  Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
  ☆20Updated 2 years ago
• saper0 / adversarial_training
  Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…
  ☆12Updated 2 years ago
• yuwvandy / FairVGNN
  ☆27Updated 3 years ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆121Updated 2 years ago
• XweiQ / Benchmark-GraphFairness
  The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)
  ☆13Updated last week
• Yiminghh / HiGCN
  ☆22Updated last year
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆88Updated last year
• zhongjian-zhang / LLM4RGNN
  A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)
  ☆29Updated 2 months ago
• FDUDSDE / KDD2022CLARE
  Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"
  ☆38Updated 2 years ago
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆270Updated last year
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆113Updated last year
• Juanhui28 / HeaRT
  ☆60Updated last year
• liun-online / SpCo
  The source code of SpCo
  ☆34Updated 2 years ago
• qiaoyu-tan / S2GAE
  ☆50Updated 3 years ago
• MGitHubL / Data4TGC
  ☆17Updated 6 months ago
• QueuQ / CGLB
  ☆58Updated last year
• Xtra-Computing / ConsisGAD
  ☆24Updated last year
• snap-stanford / CAW
  ☆79Updated 3 years ago
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆35Updated last year
• shifengzhao / H2-FDetector
  ☆31Updated 3 years ago