Alternatives and similar repositories for HEDRL-IM

Users that are interested in HEDRL-IM are comparing it to the libraries listed below

• sh-qiangchen / GNN-Theory-Papers
  This repository mainly lists some the latest research on graph neural network theory.
  ☆101Updated 2 years ago
• Dtrycode / ToupleGDD
  Implementation of "ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning" (https://arxiv.org/abs/2…
  ☆28Updated 3 years ago
• wondergo2017 / DHGAS
  Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"
  ☆35Updated 2 years ago
• ronghangzhu / CensNet
  ☆70Updated 3 years ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆74Updated 4 years ago
• xianggebenben / GraphSL
  Graph Source Localization Library
  ☆14Updated 10 months ago
• zjg540066169 / TMOGA
  Source Code for Paper "Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community Detection" (arxiv: https://arxiv.o…
  ☆21Updated last year
• zhengwang100 / ogc_ggcm
  Code for OGC and GGCM
  ☆14Updated last year
• ki-ljl / PyG-GCN
  PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…
  ☆69Updated 2 years ago
• YuxiaWu / SimpleDyG
  [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"
  ☆32Updated last year
• KuroginQin / OpenTLP
  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…
  ☆58Updated 11 months ago
• cgao-comp / DGCN
  The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…
  ☆19Updated 3 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆96Updated 3 years ago
• FanzhenLiu / DAGAD
  Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
  ☆19Updated 2 years ago
• lmy1997 / tuxiaoshi
  ☆240Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆133Updated last year
• johnny12150 / DySAT_python3
  Python 3 supported version for DySAT
  ☆12Updated 2 years ago
• AI4Risk / awesome-graph-based-fraud-detection
  Awesome Graph-based Financial Fraud Detection Papers and Codes
  ☆33Updated 7 months ago
• xkcd1838 / bench-DGNN
  ☆17Updated 4 years ago
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆220Updated last month
• mala-lab / GGAD
  Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
  ☆59Updated 2 months ago
• XiaShan1227 / GNN-Tutorial
  B站GNN教程资料
  ☆178Updated last year
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆129Updated last year
• S-rz / THINE
  The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"
  ☆15Updated 3 years ago
• geopanag / awesome-influence-maximization-papers
  ☆112Updated 2 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆106Updated 3 years ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆94Updated 4 years ago
• luanshiyinyang / GNN
  Tutorial about Graph Convolutional Network(GCN)
  ☆102Updated 4 years ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆269Updated 2 years ago
• WeltXing / SAGOD
  A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。
  ☆31Updated last year