Alternatives and similar repositories for Influence-maximization-on-hypergraphs

Users that are interested in Influence-maximization-on-hypergraphs are comparing it to the libraries listed below

• jihoonko / asonam20-monstor
  ☆10Updated 5 years ago
• AndyJZhao / Gophormer
  ☆22Updated 3 years ago
• kswoo97 / pcl
  Published as a journal paper at DAMI 2023
  ☆18Updated 11 months ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆51Updated 2 years ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆103Updated 2 years ago
• manhtuando97 / KDD-20-Hypergraph
  Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"
  ☆32Updated last year
• LUMIA-Group / OrderedGNN
  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).
  ☆47Updated last year
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆42Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆88Updated last year
• Xi-yuanWang / GLASS
  GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
  ☆31Updated 3 years ago
• Yiminghh / HiGCN
  ☆22Updated last year
• hedongxiao-tju / HOG-GCN
  ☆38Updated 4 years ago
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆73Updated 3 years ago
• 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.
  ☆64Updated 2 years ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆123Updated 3 years ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆107Updated 7 months ago
• AlvinIsonomia / PADEL
  This paper is accpeted by WSDM 2023
  ☆13Updated 2 years ago
• OneForward / UniGNN
  Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).
  ☆71Updated 4 years ago
• chlehdwon / RDB2G-Bench
  [NeurIPS 2025 Datasets and Benchmarks] Source code for the paper RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of R…
  ☆22Updated last month
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆75Updated 2 years ago
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆37Updated 2 years ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆63Updated 3 years ago
• snap-stanford / CAW
  ☆79Updated 3 years ago
• jianhao2016 / GPRGNN
  ☆139Updated 2 years ago
• young917 / EdgeDependentNodeLabel
  KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
  ☆19Updated last year
• fpour / DGB
  Dynamic Graph Benchmark
  ☆88Updated 3 years ago
• GemsLab / CPGNN
  ☆30Updated 4 years ago
• alge24 / DyGNN
  ☆65Updated 5 years ago
• myflashbarry / LLM-benchmarking
  ☆18Updated 11 months ago
• matthew-hirn / magnet
  MagNet graph convolutional network
  ☆41Updated 2 years ago