jamesYu365 / EGAT

Related projects ⓘ

Alternatives and complementary repositories for EGAT

• ronghangzhu / CensNet
  ☆67Updated 2 years ago
• vietph34 / Edge_GNN
  Re-implementation of Exploiting Edge Features in Graph Neural Networks
  ☆11Updated 2 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆113Updated last year
• Tiger101010 / DAEGC
  PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf
  ☆108Updated 3 years ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆115Updated 8 months ago
• JiaruiFeng / KP-GNN
  Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)
  ☆62Updated 11 months ago
• Yangyeeee / SGAT
  ☆40Updated 3 years ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆48Updated 6 months ago
• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆242Updated last year
• ki-ljl / PyG-GCN
  PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…
  ☆63Updated last year
• qwerfdsaplking / Graph-Trans
  A graph transformer framework
  ☆76Updated 2 years ago
• taishan1994 / pytorch_HAN
  异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
  ☆103Updated last year
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆117Updated 2 years ago
• asFeng / kergnns
  ☆29Updated 2 years ago
• bdy9527 / FAGCN
  ☆93Updated 3 years ago
• jianhao2016 / GPRGNN
  ☆132Updated last year
• quqixun / GNN-Pytorch
  GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
  ☆77Updated 3 years ago
• SunQingYun1996 / Graph-Reinforcement-Learning-Papers
  A curated list of graph reinforcement learning papers.
  ☆67Updated 2 years ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated 5 months ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆82Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆74Updated this week
• wondergo2017 / DHGAS
  Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"
  ☆20Updated last year
• ICT-GIMLab / SeHGNN
  ☆99Updated last year
• alge24 / DyGNN
  ☆51Updated 4 years ago
• xnuohz / ARMA-dgl
  A DGL implementation of "Graph Neural Networks with convolutional ARMA filters". (PAMI 2021)
  ☆18Updated 3 years ago
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆50Updated 11 months ago
• johnny12150 / DySAT_python3
  Python 3 supported version for DySAT
  ☆13Updated last year
• HanChen-HUST / CSGCL
  source code for IJCAI 2023 accpeted Paper CSGCL:Community Strength Enhanced Graph Contrastive Learning
  ☆16Updated 8 months ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆97Updated 2 years 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…
  ☆127Updated last year