Alternatives and similar repositories for SmartSense:

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

• snudatalab / GraphAug
  Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)
  ☆21Updated 2 years ago
• nigelnnk / FairGAD
  Analysing fairness of graph anomaly detection methods
  ☆11Updated 5 months ago
• zhiming-xu / conad
  Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)
  ☆25Updated 2 years ago
• snudatalab / BPN
  Belief Propagation Network for Hard Inductive Semi-Supervised Learning (IJCAI 2019)
  ☆20Updated last year
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆42Updated 5 months ago
• THUDM / GraphCAD
  TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf
  ☆31Updated 2 years ago
• snudatalab / SVGA
  Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)
  ☆18Updated 2 years ago
• TheaperDeng / GNN-Attack-InfMax
  Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
  ☆18Updated 3 years ago
• tsinghua-fib-lab / AMCNet
  The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)
  ☆10Updated last year
• Linxyhaha / DEALRec
  Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)
  ☆28Updated 2 months ago
• EnyanDai / awesome-turstworthy-graph-neural-networks
  ☆24Updated 2 years ago
• LoadingByte / are-gnn-defenses-robust
  Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…
  ☆29Updated 2 years ago
• young917 / EdgeDependentNodeLabel
  KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
  ☆18Updated 9 months ago
• ShinhwanKang / BeGin
  Easy-to-use framework for graph continual learning with Python
  ☆34Updated 6 months ago
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆62Updated 11 months ago
• kaize0409 / GraphUCB_AnomalyDetection
  Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks
  ☆14Updated 4 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆47Updated 2 years ago
• wenqifan03 / GTN-SIGIR2022
  Graph Trend Filtering Networks for Recommendations, SIGIR'2022
  ☆25Updated 3 years ago
• mims-harvard / GNNGuard
  Defending graph neural networks against adversarial attacks (NeurIPS 2020)
  ☆64Updated last year
• yzhang1918 / cikm2022rudi
  Codes and data for CIKM 2022 paper "RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation"
  ☆11Updated 2 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 3 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 3 years ago
• zwt233 / GAMLP
  ☆18Updated 3 years ago
• blacksingular / wsdm_GDN
  [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…
  ☆20Updated last year
• young917 / MiDaS
  WWW22 - MiDaS: Representative Hypergraph Sampling
  ☆12Updated 11 months ago
• KellyGong / SparseGAD
  ☆19Updated last year
• snudatalab / PFT
  Fast and Accurate Partial Fourier Transform for Time Series Data (KDD 2021)
  ☆15Updated 2 years ago
• lxiaorui / AirGNN
  ☆20Updated 2 years ago
• jumxglhf / G2A2C
  Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…
  ☆25Updated 2 years ago
• ChandlerBang / pytorch-gnn-meta-attack
  Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
  ☆21Updated 4 years ago