Alternatives and similar repositories for Pytorch-TextCNN

Users that are interested in Pytorch-TextCNN are comparing it to the libraries listed below

• scottshufe / Awesome-Graph-Contrastive-Learning
  A collection of graph contrastive learning methods.
  ☆18Updated 3 years ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• zhitao-wang / PLNLP
  Pairwise learning neural link prediction for ogb link prediction
  ☆40Updated 3 years ago
• qjf42 / AttentionPathExplainer
  A tool to help understand how GNN/BERT works by attention
  ☆15Updated 5 years ago
• divelab / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆68Updated 3 years ago
• pmernyei / wiki-cs-dataset
  Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
  ☆65Updated 4 years ago
• Radical3-HeZhang / Awesome-Trustworthy-GNNs
  ☆97Updated last year
• acbull / HGT-DGL
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)
  ☆75Updated 3 years ago
• kenqgu / Text-GCN
  A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)
  ☆129Updated 5 years ago
• allenhaozhu / SSGC
  Implementation for Simple Spectral Graph Convolution in ICLR 2021
  ☆85Updated 3 years ago
• THUDM / SCR
  SCR: Training Graph Neural Networks with Consistency Regularization
  ☆36Updated 3 years ago
• zhao-tong / GNNs-easy-to-use
  An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
  ☆65Updated 5 years ago
• LARS-research / AutoSF
  Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
  ☆69Updated 2 years ago
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• dglai / WSDM2022-Challenge
  WSDM2022 Challenge - Large scale temporal graph link prediction
  ☆38Updated 4 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 5 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 4 years ago
• mengliu1998 / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆156Updated 3 years ago
• ytchx1999 / PyG-OGB-Tricks
  Bags of Tricks in OGB (node classification) with GCNs.
  ☆37Updated 4 years ago
• daiquocnguyen / GNN-NoGE
  Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)
  ☆59Updated 4 years ago
• snap-research / graphless-neural-networks
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆95Updated last year
• cszhangzhen / H2MN
  H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
  ☆59Updated 3 years ago
• DaDaCheng / WalkPooling
  ☆49Updated 3 years ago
• zhulf0804 / GCN.PyTorch
  Graph Convolutional Networks for Text Classification.
  ☆47Updated 6 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated 2 years ago
• jwzhanggy / graph_bert_work
  A list of latest research papers on graph-bert
  ☆47Updated 5 years ago
• shuowang-ai / graph-neural-network-pyg
  PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.
  ☆50Updated 6 years ago
• TianXieUSC / GraphHop
  ☆20Updated 3 years ago
• thiviyanT / torch-rgcn
  A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
  ☆133Updated 4 years ago
• YimiAChack / GraphSTONE
  An implementation of "Graph Structural-topic Neural Network"
  ☆73Updated 5 years ago