asFeng / kergnnsLinks
☆29Updated 3 years ago
Alternatives and similar repositories for kergnns
Users that are interested in kergnns are comparing it to the libraries listed below
Sorting:
- ☆97Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 6 months ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆94Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- ☆136Updated 2 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆106Updated 3 months ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆67Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆86Updated 10 months ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated last month
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆57Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆90Updated 3 years ago
- The source code of HeCo☆168Updated 3 years ago
- ☆77Updated 4 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆23Updated 3 years ago
- ☆61Updated 4 years ago
- ☆44Updated 4 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆63Updated last year
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 4 years ago
- ☆75Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 4 years ago
- ☆136Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 3 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated last year
- official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"☆43Updated 3 years ago
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆39Updated 3 years ago
- ☆38Updated 3 years ago