ZhongLIFR

ZhongLIFR's Stars

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java97.8k53722212.4k

• vpncn/vpncn.github.io

  2024**翻墙软件VPN推荐以及科学上网避坑，稳定好用。对比SSR机场、蓝灯、V2ray、老王VPN、VPS搭建梯子等科学上网与翻墙软件，**最新科学上网翻墙梯子VPN下载推荐，访问Chatgpt。

  Language:HTML15.9k24201.5k

• Paitesanshi/LLM-Agent-Survey

  2.6k7219152

• shengyp/doing_the_PhD

  2k431262

• Tongji-KGLLM/RAG-Survey

  1.8k3118120

• XiaoxinHe/Awesome-Graph-LLM

  A collection of AWESOME things about Graph-Related LLMs.

  1.8k4513129

• daochenzha/data-centric-AI

  A curated, but incomplete, list of data-centric AI resources.

  1k15372

• XueFuzhao/awesome-mixture-of-experts

  A collection of AWESOME things about mixture-of-experts

  95825272

• RexYing/gnn-model-explainer

  gnn explainer

  Language:Python8712231173

• safe-graph/graph-adversarial-learning-literature

  A curated list of adversarial attacks and defenses papers on graph-structured data.

  8293711129

• ChandlerBang/awesome-graph-attack-papers

  Adversarial attacks and defenses on Graph Neural Networks.

  36422730

• XiaoxinHe/G-Retriever

  Repository for G-Retriever

  Language:Python31352054

• hbaniecki/adversarial-explainable-ai

  💡 Adversarial attacks on explanations and how to defend them

  298156244

• PKU-DAIR/RAG-Survey

  Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

  2302014

• zlpure/awesome-graph-representation-learning

  A curated list for awesome graph representation learning resources.

  1515027

• flyingdoog/PGExplainer

  Parameterized Explainer for Graph Neural Network

  Language:Jupyter Notebook12551415

• FelixDJC/Awesome-Graph-Anomaly-Detection

  A collection of papers for graph anomaly detection, and published algorithms and datasets.

  1091014

• Shen-Lab/GraphCL_Automated

  [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

  Language:Python1084911

• TrustAGI-Lab/CoLA

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

  Language:Python812820

• Xtra-Computing/Awesome-Literature-ILoGs

  Awesome literature on imbalanced learning on graphs

  62215

• FelixDJC/GRADATE

  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.

  Language:Python48245

• TrustAGI-Lab/ANEMONE

  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".

  Language:Python451112

• KimMeen/SL-GAD

  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".

  Language:Python43348

• pygod-team/data

  Data repository for PyGOD

  37222

• EnyanDai/awesome-turstworthy-graph-neural-networks

  24304

• zhiming-xu/conad

  Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)

  Language:Python24334

• FanzhenLiu/DAGAD

  Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022

  Language:Python18104

• Zjer12/Sub

  Language:Python11201

• TianjinYellow/GraphAnomalyDetection

  Language:Python6102

• Zhen-Peng-Wu/AdaAE

  Language:Python20