uoguelph-mlrg / LDGLinks
PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
☆103Updated 4 years ago
Alternatives and similar repositories for LDG
Users that are interested in LDG are comparing it to the libraries listed below
Sorting:
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- ☆53Updated 5 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 5 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆95Updated 2 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆158Updated 2 years ago
- Implement of DiGCN, NeurIPS-2020☆47Updated 4 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆230Updated last year
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆46Updated 6 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 6 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆197Updated last year
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 5 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆149Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆80Updated 4 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 3 years ago
- ☆29Updated 4 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated 2 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- ☆51Updated 3 years ago
- Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…☆46Updated last year
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆104Updated 11 months ago
- ☆97Updated 4 years ago
- ☆60Updated 2 years ago
- HDGI code☆62Updated 5 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆161Updated 5 years ago
- ☆50Updated 2 years ago