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Starred repositories
The source code of "Improved Graph Contrastive Learning for Short Text Classification"
Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"
ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark
[Preparing] Multi-View Contrastive Network (MVCNet) for Motor Imagery Classification
An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.
[ECML-PKDD'2023] CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection
The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.
The code of the Paper "Dual-channel Graph-level Anomaly Detection Method Based on Multi-Graph Representation Learning"
Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
Word2Vec embeddings over packet capture data n-grams.
[WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
junxia97 / SimGRACE
Forked from mpanpan/SimGRACE[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
The code for "SCL: Self-supervised contrastive learning for few-shot image classification"
Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch
ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification
The code of Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space
[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
[AAAI 2025] Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
phecy / SSL-FEW-SHOT
Forked from Alibaba-AAIG/SSL-FEW-SHOTSSL-FEW-SHOT
The code for "ERFS: Efficient feature graph Representation for intrusion detection based on Flow Semantic association"
This is the official repository for "RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection"
Official PyTorch implementation of FlowMo.