Alternatives and similar repositories for THyMe

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

• young917 / EdgeDependentNodeLabel
  KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
  ☆18Updated last year
• geon0325 / MoCHy
  Source code for VLDB 2020 paper "Hypergraph Motifs: Concepts, Algorithms, and Discoveries."
  ☆17Updated last year
• kswoo97 / pcl
  Published as a journal paper at DAMI 2023
  ☆16Updated 9 months 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…
  ☆17Updated this week
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆65Updated last year
• NAVER-INTEL-Co-Lab / gaudi-geometric-learning
  Handbook for Geometric Deep Learning with Intel Gaudi-v2 Devices
  ☆20Updated 8 months ago
• RingBDStack / GC-Bench
  An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)
  ☆19Updated last year
• ShinhwanKang / BeGin
  Easy-to-use framework for graph continual learning with Python
  ☆38Updated last year
• syleeheal / AERO-GNN
  Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.
  ☆30Updated 7 months ago
• jihoonko / asonam20-monstor
  ☆10Updated 5 years ago
• wooner49 / TriCL
  I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)
  ☆38Updated last year
• AndyJZhao / Gophormer
  ☆22Updated 3 years ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆51Updated last year
• meettyj / NOSMOG
  Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".
  ☆33Updated 2 years ago
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆40Updated 2 years ago
• zknus / Graph-Diffusion-CDE
  Graph Neural Convection-Diffusion with Heterophily
  ☆11Updated 2 years ago
• Coco-Hut / DHG-Bench
  DHG-Bench is a comprehensive benchmark for Deep Hypergraph Learning
  ☆23Updated last month
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆74Updated 2 years ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆87Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆87Updated last year
• LoadingByte / are-gnn-defenses-robust
  Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…
  ☆29Updated 3 years ago
• Xzh0u / GBK-GNN
  Code for GBK-GNN (paper accepted by WWW2022)
  ☆16Updated 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
• SukwonYun / LTE4G
  [CIKM 2023] Code for the paper "LTE4G: Long-Tail Experts for Graph Neural Networks"
  ☆40Updated 3 years ago
• jeongwhanchoi / GREAD
  GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023
  ☆61Updated last year
• AaltoPML / PINT
  ☆19Updated 2 years ago
• Emory-Melody / awesome-graph-reduction
  [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
  ☆168Updated 2 weeks ago
• Graph-COM / PEG
  ☆42Updated 2 years ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆64Updated 2 years ago
• RingBDStack / VIB-GSL
  Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022
  ☆37Updated 3 years ago