Alternatives and similar repositories for GResNet:

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

• alge24 / eigenpooling
  An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
  ☆49Updated 5 years ago
• Nate1874 / StructPool
  The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
  ☆58Updated 5 years ago
• gear / gfnn
  Graph Filter Neural Network (ICPR'20)
  ☆48Updated 4 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆45Updated 4 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆22Updated 4 years ago
• PwnerHarry / Stronger_GCN
  Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"
  ☆53Updated 7 months ago
• AvigdorZ / ADaptive-Structural-Fingerprint
  ☆29Updated 4 years ago
• matenure / mvGAE
  Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
  ☆32Updated 6 years ago
• limaosen0 / GXN
  Graph Cross Network
  ☆48Updated 4 years ago
• davide-belli / graphsage-diffpool-classifier
  Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers
  ☆33Updated 6 years ago
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 4 years ago
• MysteryVaibhav / RWR-GAE
  Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
  ☆38Updated last year
• YuGuangWang / UFG
  ☆35Updated 2 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆88Updated 3 years ago
• LingxiaoShawn / PairNorm
  Source code for PairNorm (ICLR 2020)
  ☆76Updated 5 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 3 years ago
• cvignac / SMP
  ☆27Updated 3 years ago
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 2 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆124Updated 5 years ago
• divelab / Non-Local-GNN
  Official implementation of "Non-Local Graph Neural Networks" [TPAMI]
  ☆22Updated 2 years ago
• ihollywhy / FactorGCN.PyTorch
  Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20
  ☆51Updated 4 years ago
• vermaMachineLearning / Universal-Graph-Embedding-Neural-Network
  Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
  ☆40Updated 5 years ago
• Shen-Lab / SS-GCNs
  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆110Updated 3 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆57Updated 4 years ago
• Thinklab-SJTU / WSGNN
  Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…
  ☆20Updated 2 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 4 years ago
• ChengtaiCao / Meta-GNN
  ☆63Updated 2 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆100Updated 4 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 5 years ago