CheriseZhu / GSSNNLinks
The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
☆20Updated 5 years ago
Alternatives and similar repositories for GSSNN
Users that are interested in GSSNN are comparing it to the libraries listed below
Sorting:
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- ☆12Updated 3 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Meta-Learning for Few Shot Link Prediction☆49Updated 5 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- ☆35Updated 6 years ago
- ☆28Updated 3 years ago
- This repository summarises the open source codes of our group☆27Updated 2 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated 2 years ago
- An implementation of "Graph Structural-topic Neural Network"☆73Updated 4 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 2 years ago
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated last year
- Papers on Hyperbolic embeddings and Hyperbolic Neural Network☆35Updated 5 years ago
- ☆12Updated 5 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆24Updated 5 years ago
- ☆31Updated 2 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- ☆49Updated 2 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 6 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year