aravindsankar28 / Inf-VAE
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
☆27Updated 4 years ago
Alternatives and similar repositories for Inf-VAE:
Users that are interested in Inf-VAE are comparing it to the libraries listed below
- ☆10Updated 5 years ago
- Topological Recurrent Neural Network for Diffusion Prediction☆19Updated 7 years ago
- source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"☆46Updated 4 years ago
- ☆17Updated 6 years ago
- Repository for " Integrating User Representation Learning and Multiscale Modeling: A Hierarchical Framework for Information Diffusion".☆15Updated 4 years ago
- ☆46Updated 5 years ago
- Code for A Sequential Neural Information Diffusion Model with Structure Attention (CIKM 2018)☆17Updated 6 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- ☆22Updated 4 years ago
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆54Updated last year
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆51Updated 3 years ago
- Information Diffusion Prediction via Recurrent Cascades Convolution☆52Updated 3 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆31Updated 5 years ago
- CoupledGNN: Popularity prediction with Coupled Graph Neural Networks☆47Updated 2 years ago
- Paper List of Information Diffusion Prediction☆63Updated 3 years ago
- ☆17Updated 5 years ago
- ☆12Updated last year
- 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
- ☆77Updated 2 years ago
- [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization☆75Updated 3 years ago
- ☆21Updated 10 months ago
- ☆10Updated last year
- Implement of our TKDE paper: Hyperbolic Graph Learning for Social Recommendation☆11Updated 10 months ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆45Updated 6 years ago
- DeepHawkes: Popularity Prediction of Information Cascades☆90Updated 7 years ago
- Topological-LSTM for Information Cascade Modeling☆12Updated 7 years ago
- ☆32Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆37Updated 11 months ago
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆25Updated 2 years ago
- TKDE 2021. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.☆31Updated 5 months ago