fengduqianhe

fengduqianhe's Stars

• safe-graph/graph-fraud-detection-papers

  A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

  1.5k554260

• bitzhangcy/Deep-Learning-Based-Anomaly-Detection

  2569125

• Xtra-Computing/Awesome-Literature-ILoGs

  Awesome literature on imbalanced learning on graphs

  68317

• yixinliu233/GREET

  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating

  Language:Python50224

• PersistenceForever/Neural-Question-Generation-Survey-List

  A comprehensive overview of neural question generation across diverse input formats.

  49201

• mala-lab/GGAD

  Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"

  Language:Python37031

• mala-lab/TAM-master

  Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"

  Language:Python36232

• mxliu/HFCN_TPAMI

  Language:Python201213

• yixinliu233/SIGNET

  [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection

  Language:Python20312

• CampanulaBells/PREM-GAD

  Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection

  Language:Python11231

• zhangjun001/AD-Landmark-Prediction

  Language:Python11213

• shixiaoyu0216/DNaIR

  code for Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach

  Language:Python9110

• mxliu/wiseDNN

  Weakly-supervised Deep Learning for Brain Disease Prognosis using MRI and Incomplete Clinical Scores

  Language:Python6204

• shixiaoyu0216/SAC4IR

  code for Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach and Maximum Entropy Policy for Long-term Fairness in Interactive Recommender Systems.

  Language:Python6120

• TheMaXiao/DiTMoS

  An implementation of DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers

  Language:Python5100

• withchencheng/ECML_PKDD_23_Real

  ECML/PKDD 2023 Paper: Real: A Representative Error-Driven Approach for Active Learning

  Language:Python4100

• yixinliu233/CoLA

  [TNNLS'21] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

  Language:Python3001

• lucs-C/Semantic-Segmentation-Suite

  Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

  Language:Python2200

• mala-lab/AnomalyCLIP

  Official implementation for paper "Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection" (ICLR 2024)

  Language:Python200

• mxliu/ICNet

  Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration

  Language:Python2000

• bitzhangcy/bitzhangcy.github.io

  Here is the personal website of Chunyang Zhang. Powered by Jekyll, based on the Minimal Mistakes theme.

  Language:CSS1000

• fengduqianhe/graph-fraud-detection-papers

  A curated list of fraud detection papers using graph information or graph neural networks

  1100

• mxliu/Batch-Spectral-Penalization

  Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)

  Language:Python1000

• mxliu/CGANforAD

  Synthesizing missing PET from MRI with cycle-consistent generative adversarial Networks for AD diagnosis

  Language:Python1001

• mxliu/DRCGAN

  1

• mxliu/EvaluatingRobustness

  1

• mxliu/ISBI-NMC

  Language:MATLAB100

• mxliu/Landmark-based-deep-feature-learning

  MRI feature learnibg

  1

• mxliu/mri-breast-tumor-segmentation

  Language:Python100

• mxliu/MWGAN

  PyTorch implementation of "Multi-marginal Wasserstein GAN" (NeurIPS2019)

  Language:Python100