Alternatives and similar repositories for chartalist

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

• fpour / TGB_Baselines
  TGB baselines for dynamic link property prediction
  ☆23Updated 8 months ago
• git-disl / EllipticPlusPlus
  Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses
  ☆109Updated last year
• Rufaim / EvolveGCN
  EvolveGCN applied to Elliptic dataset
  ☆30Updated 3 years ago
• feedzai / research-aml-elliptic
  ☆33Updated 5 years ago
• Persdre / EX-Graph
  [ICLR 2024] EX-Graph: A Pioneering Dataset Bridging Ethereum and X https://openreview.net/pdf?id=juE0rWGCJW
  ☆20Updated 11 months ago
• Charlesvandamme / Inductive-Graph-Representation-Learning-for-Fraud-Detection
  This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…
  ☆34Updated 2 years ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆236Updated last month
• fpour / DGB
  Dynamic Graph Benchmark
  ☆82Updated 2 years ago
• zeno129 / DYMOND
  DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.
  ☆15Updated 2 years ago
• lindan113 / xblock-network_analysis
  ☆13Updated 5 years ago
• twitter-research / feature-propagation
  ☆84Updated 3 years ago
• EnyanDai / FairGNN
  A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…
  ☆67Updated 2 years ago
• IBM / Multi-GNN
  Multi-GNN architectures for Anti-Money Laundering.
  ☆89Updated last year
• ComplexData-MILA / TGX
  Temporal Graph Analysis with TGX
  ☆26Updated 4 months ago
• tsourakakis-lab / antibenford-subgraphs
  ☆17Updated last year
• amazon-science / tgl
  ☆213Updated last year
• snap-stanford / roland
  ☆136Updated last year
• RinneSz / CLGA
  Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22
  ☆17Updated 3 years ago
• Graph-COM / GraphMaker
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
  ☆63Updated 4 months ago
• nd7141 / graph_datasets
  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
  ☆89Updated 5 years ago
• XiaoxinHe / tape_arxiv_2023
  ☆38Updated last year
• mims-harvard / GNNGuard
  Defending graph neural networks against adversarial attacks (NeurIPS 2020)
  ☆71Updated 2 years ago
• sgsourav / blockchain-network-analysis
  ☆23Updated 5 years ago
• AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-Networks
  Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
  ☆36Updated last year
• nec-research / TKG-Forecasting-Evaluation
  Evaluation of Methods for Temporal Knowledge Graph Forecasting
  ☆35Updated last year
• chirag-agarwall / nifty
  Code for paper https://arxiv.org/abs/2102.13186
  ☆43Updated 4 years ago
• EdisonLeeeee / GreatX
  A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
  ☆87Updated 11 months ago
• WangXuhongCN / OCGNN
  my implement of my paper
  ☆62Updated 4 years ago
• THUDM / grb
  Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…
  ☆96Updated last year
• jjzhou012 / Ethident
  ☆18Updated last year