Information Diffusion Prediction Papers

• 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