DeepGraphLearning / SPN
☆29Updated 2 years ago
Alternatives and similar repositories for SPN:
Users that are interested in SPN are comparing it to the libraries listed below
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 3 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆21Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆41Updated 3 years ago
- ☆38Updated 2 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 3 years ago
- Graph Transformers for Large Graphs☆20Updated 10 months ago
- Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems☆10Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆56Updated last year
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated 7 months ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆27Updated 2 years ago
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆25Updated 2 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- ☆9Updated last year
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆19Updated last year
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆18Updated 2 years ago
- Official Code of Decoupled Graph Convolution (DGC)☆17Updated 3 years ago
- ☆20Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Updated 3 years ago
- ☆13Updated 3 years ago
- ☆15Updated last year
- Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"☆15Updated last year