JindouDai / H2H-GCN
☆14Updated 3 years ago
Alternatives and similar repositories for H2H-GCN:
Users that are interested in H2H-GCN are comparing it to the libraries listed below
- Graph Cross Network☆48Updated 4 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago
- HGCAE Pytorch implementation. CVPR2021 accepted.☆44Updated last year
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- Graph Learning Convolution Network☆38Updated last year
- Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.☆53Updated 3 years ago
- ☆62Updated 4 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated last year
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆52Updated last year
- Confidence-Based Feature Imputation for Graphs with Partially Known Features (ICLR 2023)☆10Updated last year
- ☆60Updated 2 years ago
- ☆21Updated 3 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆51Updated 4 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- ☆131Updated last year
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆44Updated 2 years ago
- The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling☆28Updated 4 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆23Updated 2 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆38Updated last year
- ☆95Updated 3 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆134Updated 2 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆55Updated 3 years ago
- GFL for AAAI 2020☆31Updated 4 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆101Updated 2 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆78Updated 3 years ago