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…
  ☆28Updated 3 years ago
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆65Updated last year
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆124Updated 3 years ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆276Updated 2 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
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆37Updated 2 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆135Updated last year
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆46Updated last year
• EdisonLeeeee / Awesome-Fair-Graph-Learning
  Paper List for Fair Graph Learning (FairGL).
  ☆142Updated last year
• tangj90 / OPIM
  SIGMOD 2018: Online Processing Algorithms for Influence Maximization
  ☆24Updated 7 years ago
• cspjiao / MINDS
  Multi-scale Information Diffusion Prediction with Sequential Hypergraphs
  ☆13Updated last year
• snap-stanford / CAW
  ☆77Updated 3 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆107Updated 3 years ago
• lihuixidian / PIANO
  DISCO: Influence Maximization Meets Graph Embedding and Deep Learning (a.k.a. PIANO)
  ☆15Updated 3 years ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆82Updated 6 months ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆121Updated 2 years ago
• ckldan520 / DDGCL
  code for "Self-supervised representation learning on dynamic graphs"
  ☆27Updated 3 years ago
• shifengzhao / H2-FDetector
  ☆31Updated 3 years ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆66Updated 2 years ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆154Updated 9 months ago
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆265Updated last year
• doujiang-zheng / Dynamic-Temporal-Graph-Learning-Reading-List
  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
  ☆63Updated 2 years ago
• yuwvandy / FairVGNN
  ☆27Updated 3 years ago
• MGitHubL / Data4TGC
  ☆17Updated 4 months ago
• triplej0079 / DeepIM
  ☆46Updated 2 years ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆51Updated last year
• Xtra-Computing / ConsisGAD
  ☆23Updated last year
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆87Updated last year
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆74Updated 2 years ago
• YuxiaWu / SimpleDyG
  [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"
  ☆33Updated last year