Alternatives and similar repositories for asonam20-monstor

Users that are interested in asonam20-monstor are comparing it to the libraries listed below

• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆35Updated last year
• NAVER-INTEL-Co-Lab / gaudi-geometric-learning
  Handbook for Geometric Deep Learning with Intel Gaudi-v2 Devices
  ☆20Updated 4 months ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆45Updated 7 months ago
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• kswoo97 / pcl
  Published as a journal paper at DAMI 2023
  ☆16Updated 5 months ago
• AndyJZhao / Gophormer
  ☆22Updated 2 years ago
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆38Updated 2 years ago
• chlehdwon / RDB2G-Bench
  Source code for the paper RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases
  ☆15Updated last week
• RingBDStack / GC-Bench
  An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)
  ☆19Updated 11 months ago
• GemsLab / CPGNN
  ☆29Updated 3 years ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆52Updated 2 years ago
• rollingstonezz / Curriculum_learning_for_GNNs
  This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"
  ☆15Updated last year
• wokas36 / GraphSNN
  Graph Structured Neural Network
  ☆40Updated 2 years ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆43Updated 2 years ago
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆37Updated last year
• Xzh0u / GBK-GNN
  Code for GBK-GNN (paper accepted by WWW2022)
  ☆16Updated 3 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆84Updated 7 months ago
• Graph-COM / Neighborhood-Aware-Temporal-Network
  Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
  ☆27Updated 2 years ago
• young917 / EdgeDependentNodeLabel
  KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
  ☆18Updated last year
• SitaoLuan / When-Do-GNNs-Help
  Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…
  ☆21Updated 7 months ago
• hieubkvn123 / revisiting-gnn-curvature
  Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper
  ☆17Updated 2 years ago
• GraphPKU / NeuralCommonNeighbor
  ☆47Updated 11 months ago
• susheels / gnns-and-local-assortativity
  This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…
  ☆32Updated 3 years ago
• zylMozart / Disentangle_GraphHom
  [Neurips 2024] Disentangled Graph Homophily
  ☆26Updated 5 months ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆81Updated 2 years ago
• RXPHD / Lazy_GNN
  LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation ICML_2023
  ☆13Updated last year
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆63Updated last year
• MGitHubL / Data4TGC
  ☆17Updated 2 weeks ago
• snap-stanford / CAW
  ☆75Updated 2 years ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆123Updated 2 years ago