StatsDLMathsRecomSys / Generative-Graph-Convolutional-Network-for-Growing-GraphsLinks
☆12Updated 5 years ago
Alternatives and similar repositories for Generative-Graph-Convolutional-Network-for-Growing-Graphs
Users that are interested in Generative-Graph-Convolutional-Network-for-Growing-Graphs are comparing it to the libraries listed below
Sorting:
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆25Updated 5 years ago
- ☆21Updated 4 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 7 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆88Updated 5 years ago
- ☆47Updated 4 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 4 years ago
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆53Updated 6 years ago
- ☆26Updated 6 years ago
- Code for the experiments of Matrix Factorization Bandit☆24Updated 7 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- ☆21Updated 3 years ago
- Distributed Feedback-Looped Networks☆10Updated 6 years ago
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆101Updated 5 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆62Updated last year
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆21Updated 4 years ago
- ☆50Updated 2 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)☆48Updated 6 years ago
- Source code and dataset for TKDE 2019 paper “Trust Relationship Prediction in Alibaba E-Commerce Platform”☆16Updated 6 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆27Updated 4 years ago
- ☆31Updated 4 years ago
- ☆18Updated 6 years ago
- Poisson Matrix and Tensor Factorization with sparse input and internal representations☆16Updated 6 years ago
- code for "Fully Neural Network based Model for General Temporal Point Processes"☆64Updated 5 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆44Updated 6 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 5 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated 2 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆78Updated 4 years ago