rollingstonezz / SGMP_codeLinks
NeurIPS 2021 paper 'Representation Learning on Spatial Networks' code
☆18Updated 3 years ago
Alternatives and similar repositories for SGMP_code
Users that are interested in SGMP_code are comparing it to the libraries listed below
Sorting:
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆103Updated last week
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆60Updated 4 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year
- ☆53Updated 5 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆136Updated 2 years ago
- Source code for PairNorm (ICLR 2020)☆78Updated 5 years ago
- How Powerful are Spectral Graph Neural Networks☆72Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆88Updated 3 years ago
- MagNet graph convolutional network☆37Updated last year
- ☆76Updated 3 years ago
- [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"☆138Updated 7 months ago
- ☆47Updated 3 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆80Updated last year
- ☆62Updated 4 years ago
- ☆25Updated last year
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- Neural Dynamics on Complex Networks☆53Updated 4 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆55Updated 2 years ago
- ☆10Updated 3 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated 5 months ago