Alternatives and similar repositories for EGAT

Users that are interested in EGAT are comparing it to the libraries listed below

• ronghangzhu / CensNet
  ☆72Updated 3 years ago
• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆277Updated 3 years ago
• vietph34 / Edge_GNN
  Re-implementation of Exploiting Edge Features in Graph Neural Networks
  ☆11Updated 3 years ago
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆138Updated 4 years ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆59Updated last year
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆339Updated last year
• yanghaoxie / GCN-GAN-for-Weighted-Dynamic-Networks
  GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
  ☆34Updated 6 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆95Updated 3 years ago
• wondergo2017 / DHGAS
  Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"
  ☆36Updated 2 years ago
• ki-ljl / PyG-GCN
  PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…
  ☆70Updated 2 years ago
• quqixun / GNN-Pytorch
  GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
  ☆97Updated 11 months ago
• hazdzz / chebnet
  The PyTorch version of ChebNet.
  ☆39Updated last year
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 9 months ago
• Yangyeeee / SGAT
  ☆44Updated 4 years ago
• gzcsudo / Awesome-Hypergraph-Network
  A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
  ☆312Updated 11 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…
  ☆144Updated 2 years ago
• jiangqn / GCN-GAN-pytorch
  A pytorch implemention of GCN-GAN for temporal link prediction.
  ☆104Updated 6 years ago
• alge24 / DyGNN
  ☆65Updated 5 years ago
• OuYangg / GNNs
  This is a repository used to preserve codes about GNNs.
  ☆27Updated 3 years ago
• tech-srl / how_attentive_are_gats
  Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
  ☆355Updated 3 years ago
• Tiger101010 / DAEGC
  PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf
  ☆116Updated 4 years ago
• xnuohz / ARMA-dgl
  A DGL implementation of "Graph Neural Networks with convolutional ARMA filters". (PAMI 2021)
  ☆17Updated 4 years ago
• taishan1994 / pytorch_HAN
  异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
  ☆114Updated 2 years ago
• KuroginQin / OpenTLP
  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…
  ☆59Updated last year
• zhumeiqiBUPT / AM-GCN
  AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
  ☆252Updated 5 years ago
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆232Updated last month
• ICT-GIMLab / SeHGNN
  ☆125Updated 2 years ago
• malllabiisc / HyperGCN
  NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
  ☆213Updated 5 years ago
• sh-qiangchen / GNN-Theory-Papers
  This repository mainly lists some the latest research on graph neural network theory.
  ☆98Updated 2 years ago
• iMoonLab / THU-HyperG
  ☆118Updated 4 years ago