yifan-h / CS-GNNLinks
Measuring and Improving the Use of Graph Information in Graph Neural Networks
☆83Updated 11 months ago
Alternatives and similar repositories for CS-GNN
Users that are interested in CS-GNN are comparing it to the libraries listed below
Sorting:
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 6 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 9 months ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- ☆29Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆78Updated 5 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆113Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆122Updated last year
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 4 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- ☆137Updated 5 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Distance Encoding for GNN Design☆186Updated 4 years ago
- ☆35Updated 6 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆125Updated 11 months ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆83Updated 2 years ago