Alternatives and similar repositories for GraphSAGE-GCN-GAT

Users that are interested in GraphSAGE-GCN-GAT are comparing it to the libraries listed below

• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated 8 months ago
• ki-ljl / GNNs-for-Node-Classification
  Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…
  ☆136Updated 2 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆128Updated last year
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆145Updated 4 months ago
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆240Updated last month
• sh-qiangchen / GNN-Theory-Papers
  This repository mainly lists some the latest research on graph neural network theory.
  ☆100Updated last year
• ki-ljl / GNNs-for-Link-Prediction
  Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…
  ☆63Updated last year
• xkcd1838 / bench-DGNN
  ☆17Updated 3 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
• ICT-GIMLab / SeHGNN
  ☆116Updated last year
• Ffffffffire / HINormer
  ☆34Updated 2 years ago
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆127Updated 3 years ago
• AtwoodDuan / DGA-GNN
  The official implementation of the DGA-GNN algorithm.
  ☆27Updated last year
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆47Updated 7 months ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆174Updated last year
• jianxiangyu / MEOW
  ☆29Updated 9 months ago
• fortunato-all / DiffGAD
  ☆11Updated 4 months ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆62Updated 2 years ago
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆202Updated last month
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆262Updated 7 months ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆59Updated last year
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆127Updated last year
• Marigoldwu / PyDGC
  A Unified Library for Deep Graph Clustering
  ☆111Updated last month
• YesLab-Code / HTGNN
  ☆57Updated 3 years ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆74Updated 3 years ago
• THUDM / GraphMAE
  GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
  ☆533Updated 2 years ago
• ki-ljl / PyG-GCN
  PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…
  ☆66Updated 2 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆105Updated 3 years ago
• Tianxzzz / FreeDyG
  Codes for ICLR 2024 paper "FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction"
  ☆31Updated last year
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆253Updated last year