Alternatives and similar repositories for Chainoba

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

• feedzai / research-aml-elliptic
  ☆32Updated 5 years ago
• russchua / Graph-Isomorphism-Networks
  A Tensorflow 2.0 implementation of Graph Isomorphism Networks.
  ☆55Updated 6 years ago
• lindan113 / T-EDGE
  ☆17Updated 5 years ago
• vermaMachineLearning / Universal-Graph-Embedding-Neural-Network
  Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
  ☆41Updated 6 years ago
• wenwen0319 / SEED-Reimplementation
  ☆10Updated 5 years ago
• fulifeng / GraphAT
  Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
  ☆20Updated 5 years ago
• yuanqi7 / Phishing-Detection-on-Ethereum
  As the most famous application of blockchain, cryptocurrency has suffered huge economic losses due to phishing scams. Our work shares phi…
  ☆33Updated 3 years ago
• WangXuhongCN / OCGNN
  my implement of my paper
  ☆67Updated 4 years ago
• KelestZ / CondGen
  Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.
  ☆53Updated 6 years ago
• dkondor / bitcoin
  Bitcoin Core integration/staging tree
  ☆13Updated 5 years ago
• danielzuegner / gnn-meta-attack
  Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
  ☆154Updated 4 years ago
• git-disl / EllipticPlusPlus
  Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses
  ☆129Updated 2 years ago
• mims-harvard / GNNGuard
  Defending graph neural networks against adversarial attacks (NeurIPS 2020)
  ☆71Updated 2 years ago
• divelab / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆68Updated 3 years ago
• chengw07 / NetWalk
  ☆59Updated 6 years ago
• halimiqi / CD-ATTACK
  The Implemention of "Adversarial Attack on Community Detection by Hiding Individuals"
  ☆13Updated 5 years ago
• pankajk / Deep-Graph-Kernels
  Deep Graph Kernels
  ☆13Updated 10 years ago
• kaize0409 / GCN_AnomalyDetection
  Code for Deep Anomaly Detection on Attributed Networks (SDM2019)
  ☆132Updated 4 years ago
• jjzhou012 / Ethident
  ☆19Updated 2 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 3 years ago
• davide-belli / graphsage-diffpool-classifier
  Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers
  ☆33Updated 7 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆49Updated 2 years ago
• jiangboahu / GLCN-tf
  Graph Learning Convolution Network
  ☆39Updated 2 years ago
• zhao-tong / Graph-Anomaly-Loss
  TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …
  ☆43Updated 2 years ago
• phanein / amen
  Anomaly Mining of Entity Neighborhoods (AMEN)
  ☆17Updated 9 years ago
• benedekrozemberczki / GAM
  A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
  ☆274Updated 3 years ago
• TrustAGI-Lab / graph-deep-learning
  This repository summarises the open source codes of our group
  ☆27Updated 3 years ago
• ihollywhy / FactorGCN.PyTorch
  Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20
  ☆51Updated 5 years ago
• BUPT-GAMMA / CPF
  The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …
  ☆77Updated 4 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 6 years ago