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 4 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆52Updated 2 years ago
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆36Updated 2 years ago
• AndyJZhao / Gophormer
  ☆22Updated 2 years ago
• junhongmit / H2GB
  A large-scale node-classification graph benchmark that brings together both the heterophily and heterogeneity properties of real-world gr…
  ☆33Updated 2 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).
  ☆46Updated last year
• kswoo97 / pcl
  Published as a journal paper at DAMI 2023
  ☆16Updated 8 months ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆86Updated 11 months ago
• myflashbarry / LLM-benchmarking
  ☆16Updated 7 months ago
• GraphPKU / NeuralCommonNeighbor
  ☆48Updated last year
• GemsLab / CPGNN
  ☆29Updated 4 years ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆120Updated 2 years ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆50Updated 10 months ago
• alge24 / DyGNN
  ☆61Updated 4 years ago
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆39Updated 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
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆72Updated 2 years ago
• triplej0079 / DeepIM
  ☆45Updated 2 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.
  ☆61Updated last year
• snap-stanford / CAW
  ☆75Updated 3 years ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆63Updated last year
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆125Updated 3 years ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆63Updated 3 years ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆57Updated 2 years ago
• jianhao2016 / GPRGNN
  ☆136Updated 2 years ago
• Yiminghh / HiGCN
  ☆21Updated last year
• yuwvandy / FairVGNN
  ☆27Updated 3 years ago
• chlehdwon / RDB2G-Bench
  Source code for the paper RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases
  ☆17Updated 2 months ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆45Updated 3 years ago
• manhtuando97 / KDD-20-Hypergraph
  Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"
  ☆32Updated 11 months ago