xiangsheng1325 / GraphGenerator

Related projects ⓘ

Alternatives and complementary repositories for GraphGenerator

• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆190Updated last year
• AI4Risk / awesome-graph-based-fraud-detection
  Awesome Graph-based Financial Fraud Detection Papers and Codes
  ☆11Updated this week
• yuziGuo / PolyFilterPlayground
  ☆14Updated last month
• snap-stanford / roland
  ☆127Updated last year
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆225Updated last month
• zhengwang100 / ogc_ggcm
  Code for OGC and GGCM
  ☆12Updated 2 months ago
• amazon-science / tgl
  ☆192Updated 10 months ago
• SitaoLuan / LLM4Graph
  ☆160Updated 7 months ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆119Updated 2 years ago
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆136Updated last year
• Yiminghh / HiGCN
  ☆19Updated 7 months ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆98Updated 2 years ago
• qtguo / subsim
  ☆10Updated 4 years ago
• seven-echo / Dynamic-graph-dataset
  Dynamic graph/network dataset for dynamic graph/network embedding/representation
  ☆32Updated 4 years ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆99Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆99Updated 4 months ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆52Updated last month
• THUMNLab / awesome-auto-graph-learning
  A paper collection about automated graph learning
  ☆95Updated 5 months ago
• Xtra-Computing / ConsisGAD
  ☆20Updated 8 months ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆156Updated last year
• LuckyLYM / Zebra
  Code repository for the VLDB2023 paper "Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank".
  ☆10Updated 6 months ago
• snap-stanford / CAW
  ☆75Updated 2 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆75Updated last year
• Kangfei / LSS
  Released code for [sigmod'21] A learned Sketch for Subgraph Counting
  ☆18Updated 3 years ago
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆28Updated last year
• squareRoot3 / GraphArena
  GraphArena: Benchmarking Large Language Models on Graph Computational Problems
  ☆11Updated 2 months ago
• OpenGSL / OpenGSL
  ☆168Updated this week
• HKUST-KnowComp / NeuralSubgraphCounting
  Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"
  ☆52Updated 3 months ago
• ICT-GIMLab / SeHGNN
  ☆99Updated last year
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆48Updated last year