sailab-code / gnnLinks
Graph Neural Network
☆44Updated 4 years ago
Alternatives and similar repositories for gnn
Users that are interested in gnn are comparing it to the libraries listed below
Sorting:
- ☆40Updated 5 years ago
- ☆16Updated 5 years ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆107Updated 2 years ago
- Deep learning course CE7454, 2020☆28Updated 5 years ago
- Semi-supervised learning via Compact Latent Space Clustering☆50Updated 6 years ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Updated 3 years ago
- API for accessing the GraphLog dataset☆90Updated last year
- A easy to use API to store outputs from forward/backward hooks in Pytorch☆36Updated 6 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆80Updated 6 years ago
- A lightweight experimental logging library☆52Updated last year
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…☆53Updated 5 years ago
- A library for evaluating representations.☆77Updated 4 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆41Updated 2 years ago
- Estimating Example Difficulty using Variance of Gradients☆64Updated 2 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Updated last year
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- A curated list of awesome graph representation learning.☆69Updated 5 years ago
- Deep learning course CE7454, 2019☆191Updated 6 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)☆36Updated 3 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Collection of machine learning research paper references☆26Updated 9 months ago