asFeng / kergnns
☆30Updated 3 years ago
Alternatives and similar repositories for kergnns:
Users that are interested in kergnns are comparing it to the libraries listed below
- ☆95Updated 3 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆133Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 2 months ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆20Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 7 months ago
- ☆77Updated 2 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆36Updated 9 months ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆101Updated 2 years ago
- ☆37Updated 3 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆73Updated 4 months ago
- ☆76Updated 3 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆77Updated 3 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆52Updated last year
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆34Updated 2 years ago
- ☆104Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆64Updated last year
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆53Updated 8 months ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆94Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- ☆41Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 3 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆88Updated 3 years ago
- ☆57Updated 4 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆37Updated last year
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆82Updated 3 months ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆86Updated 2 years ago