- HID: Hierarchical Multiscale Representation Learning for Information Diffusion
- Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks
- Structure and Dynamics of Information Pathways in Online Media
- Can Cascades be Predicted?
- From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics
- DeepCas: an End-to-end Predictor of Information Cascades
- Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks
- DeepInf: Social Influence Prediction with Deep Learning
- Neural Diffusion Model for Microscopic Cascade Prediction
- Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
- Cascade-LSTM: Predicting Information Cascades using Deep Neural Networks
- A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
- Predicting Successful Memes using Network and Community Structure
- COSINE: Community-Preserving Social Network Embedding from Information Diffusion Cascades
- Attention Network for Information Diffusion Prediction
- Information Cascades Modeling via Deep Multi-Task Learning
- Cascade2vec: Learning Dynamic Cascade Representation by Recurrent Graph Neural Networks
- DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades
- Predicting the Popularity of Online Content with Knowledge-enhanced Neural Networks
- Structure and Dynamics of Information Pathways in Online Media
- MMRate: Inferring Multi-aspect Diffusion Networks with Multi-pattern Cascades
- Influence learning for cascade diffusion models: focus on partial orders of infections
- Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events
- Uncovering the structure and temporal dynamics of information propagation
- Statistical Inference of Diffusion Networks
- Predicting Future Participants of Information Propagation Trees
- Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model
- Prediction of Information Cascades via Content and Structure Integrated Whole Graph Embedding
- LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity
- Cascade Dynamics Modeling with Attention-based Recurrent Neural Network
- Hierarchical Diffusion Attention Network
- Modeling and Predicting Retweeting Dynamics on Microblogging Platforms
- Topological Recurrent Neural Network for Diffusion Prediction
- A Variational Topological Neural Model for Cascade-based Diffusion in Networks
- Deep Learning Approach on Information Diffusion in Heterogeneous Networks
- Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
- DeepFork: Supervised Prediction of Info Diffusion
- DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction
- Joint Modeling of Text and Networks for Cascade Prediction
- DeepDiffuse: Predicting the 'Who' and 'When' in Cascades
- Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth
- Learning Diffusions without Timestamps
- Maximizing the Spread of Influence through a Social Network
- CAS2VEC: Network-Agnostic Cascade Prediction in Online Social Networks
- A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion
- Understanding Community Effects on Information Diffusion
- On the Convexity of Latent Social Network Inference
- SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity
- Inferring Networks of Diffusion and Influence
- STRM: A Sister Tweet Reinforcement Process for Modeling Hashtag Popularity
- What's in a Hashtag? Content based Prediction of the Spread of Ideas in Microblogging Communities
- Learning social network embeddings for predicting information diffusion
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