RingBDStack / ACE-HGNNLinks
Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”
☆17Updated 3 years ago
Alternatives and similar repositories for ACE-HGNN
Users that are interested in ACE-HGNN are comparing it to the libraries listed below
Sorting:
- A TensorFlow implementation of GraphHeat☆16Updated 5 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Updated 4 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆39Updated 3 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 4 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆63Updated 3 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆63Updated 4 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Updated 3 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated last year
- Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.☆25Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Updated 3 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated last month
- The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.☆16Updated 3 years ago
- Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.☆11Updated last year
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆45Updated 5 years ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆46Updated 3 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 5 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 3 years ago
- ☆22Updated 3 years ago
- ☆20Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆90Updated last year
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆38Updated 3 years ago
- ☆20Updated 3 years ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆35Updated 3 years ago
- Official Implementation of Half-Hop☆20Updated 2 years ago
- ☆36Updated 3 years ago
- ☆38Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- ☆38Updated 4 years ago