Alternatives and similar repositories for antibenford-subgraphs

Users that are interested in antibenford-subgraphs are comparing it to the libraries listed below

• Xtra-Computing / ConsisGAD
  ☆23Updated last year
• snap-stanford / CAW
  ☆77Updated 3 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 4 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆107Updated 3 years ago
• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆194Updated last year
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆133Updated last year
• Xtra-Computing / PMP
  ☆18Updated last year
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆51Updated last year
• fpour / DGB
  Dynamic Graph Benchmark
  ☆87Updated 2 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆136Updated last year
• KellyGong / SparseGAD
  ☆18Updated 2 years ago
• wyl7 / DCI-pytorch
  The pytorch implementation of DCI (SIGIR2021).
  ☆34Updated 2 years ago
• D10Andy / SAD
  ☆31Updated 2 years ago
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆37Updated 2 years ago
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆65Updated last year
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆82Updated 6 months ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆124Updated 3 years ago
• YesLab-Code / HTGNN
  ☆64Updated 4 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
• zjunet / AMNet
  ☆38Updated 3 years ago
• pygod-team / data
  Data repository for PyGOD
  ☆46Updated last year
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆277Updated 2 years ago
• yushundong / EDITS
  Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".
  ☆29Updated 3 years ago
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 6 years ago
• eaglelab-zju / DGLD
  Deep Graph Outlier Detection
  ☆67Updated 2 years ago
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆37Updated last year
• qiaoyu-tan / S2GAE
  ☆50Updated 2 years ago
• yuwvandy / FairVGNN
  ☆27Updated 3 years ago
• bdi-lab / DRAG
  Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)
  ☆27Updated last year
• chirag-agarwall / nifty
  Code for paper https://arxiv.org/abs/2102.13186
  ☆43Updated 4 years ago