uoguelph-mlrg / LDG
PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
☆102Updated 4 years ago
Alternatives and similar repositories for LDG:
Users that are interested in LDG are comparing it to the libraries listed below
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆96Updated last year
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- Implement of DiGCN, NeurIPS-2020☆47Updated 3 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆31Updated 5 years ago
- ☆39Updated 4 years ago
- ☆95Updated 4 years ago
- ☆53Updated 5 years ago
- Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…☆44Updated last year
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 4 years ago
- HDGI code☆61Updated 5 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆155Updated last year
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆38Updated 6 years ago
- ☆50Updated 3 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆54Updated last year
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆148Updated last year
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- ☆29Updated 4 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆75Updated 6 years ago
- ☆77Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆77Updated 3 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- ☆131Updated last year
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated last year
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 5 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆103Updated 5 years ago
- tNodeEmbed☆79Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆116Updated 2 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 8 months ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆45Updated last year