DeepCas: an End-to-end Predictor of Information Cascades

16 November 2016

Jiaqi Ma

Papers citing "DeepCas: an End-to-end Predictor of Information Cascades"

50 / 66 papers shown

Title
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models Yuhao Zheng Chenghua Gong Rui Sun Juyuan Zhang Liming Pan Linyuan Lv 37 0 0 25 Feb 2025
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 69 1 0 29 Nov 2024
Interacting Large Language Model Agents. Interpretable Models and Social Learning Adit Jain Vikram Krishnamurthy LLMAG 37 0 0 02 Nov 2024
Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction Zhizhen Zhang Ruihong Qiu Xiaohui Xie 25 0 0 12 Oct 2024
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction Xin Jing Yichen Jing Yuhuan Lu Bangchao Deng Sikun Yang Dingqi Yang 16 0 0 25 Sep 2024
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models Xin Jing Yichen Jing Yuhuan Lu Bangchao Deng Xueqin Chen Dingqi Yang 19 0 0 25 Sep 2024
The Role of Network and Identity in the Diffusion of Hashtags Aparna Ananthasubramaniam Yufei Zhu David Jurgens Daniel M. Romero 32 0 0 17 Jul 2024
R-ODE: Ricci Curvature Tells When You Will be Informed Li Sun Jingbin Hu Mengjie Li Hao Peng 21 4 0 27 May 2024
Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference Zahra Fatemi Jean Pouget-Abadie Elena Zheleva CML 29 0 0 20 May 2024
Hierarchical Information Enhancement Network for Cascade Prediction in Social Networks Fanrui Zhang Jiawei Liu Qiang Zhang Xiaoling Zhu Zheng-Jun Zha 16 0 0 22 Mar 2024
Generator-Guided Crowd Reaction Assessment Sohom Ghosh Chung-Chi Chen Sudipta Naskar 37 0 0 08 Mar 2024
Predicting Viral Rumors and Vulnerable Users for Infodemic Surveillance Xuan Zhang Wei Gao 21 0 0 18 Jan 2024
HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades Zhizhen Zhang Xiao-Zhu Xie Yishuo Zhang Lanshan Zhang Yong Jiang GNN 17 0 0 20 Oct 2023
DySuse: Susceptibility Estimation in Dynamic Social Networks Yingdan Shi Jingya Zhou Congcong Zhang 14 1 0 21 Aug 2023
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction Xigang Sun Jingya Zhou Ling Liu Wenqi Wei GNN AI4TS 17 21 0 19 Aug 2023
CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks Hongjun Zhu Shun Yuan Xin Liu Kuo Chen Chaolong Jia Ying Qian 17 4 0 09 Aug 2023
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction Hao Geng Deqing Wang Fuzhen Zhuang Xuehua Ming Chenguang Du Ting Jiang Haolong Guo Rui Liu 19 10 0 27 May 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 56 3 0 23 May 2023
Zoo Guide to Network Embedding Anthony Baptista Rubén J. Sánchez-García A. Baudot Ginestra Bianconi GNN 13 6 0 05 May 2023
H2CGL: Modeling Dynamics of Citation Network for Impact Prediction Guoxiu He Zhi Xue Zhuoren Jiang Yangyang Kang Star X. Zhao Wei Lu 21 10 0 16 Apr 2023
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization Yandi Li Haobo Gao Yunxuan Gao Jianxiong Guo Weili Wu 21 38 0 06 Nov 2022
Revisiting Information Cascades in Online Social Networks Michael Sidorov Dan Vilenchik 67 1 0 01 Aug 2022
Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning Yufei Liu Jie Cao D. Pi GNN 18 3 0 26 Jul 2022
Learnability of Competitive Threshold Models Y. Wang G. Tong 28 2 0 08 May 2022
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction Likang Wu Hao Wang Enhong Chen Zhi Li Hongke Zhao Jianhui Ma 11 7 0 18 Apr 2022
Improving Information Cascade Modeling by Social Topology and Dual Role User Dependency Baichuan Liu Deqing Yang Yueyi Wang Yuchen Shi GNN 26 8 0 07 Apr 2022
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version Sean Bin Yang Chenjuan Guo Jilin Hu B. Yang Jiangtao Tang Christian S. Jensen 23 20 0 30 Mar 2022
Graph Representation Learning for Popularity Prediction Problem: A Survey Tiantian Chen Jianxiong Guo Wei-Ping Wu GNN 9 3 0 15 Mar 2022
CCasGNN: Collaborative Cascade Prediction Based on Graph Neural Networks Yansong Wang Xiaomeng Wang Tao Jia GNN 20 4 0 07 Dec 2021
Latent Network Embedding via Adversarial Auto-encoders Minglong Lei Yong Shi Lingfeng Niu GNN 21 0 0 30 Sep 2021
Network representation learning systematic review: ancestors and current development state Amina Amara Mohamed Ali Hadj Taieb M. Benaouicha AI4TS GNN 17 23 0 14 Sep 2021
CCGL: Contrastive Cascade Graph Learning Xovee Xu Fan Zhou Kunpeng Zhang Siyuan Liu SSL 9 41 0 27 Jul 2021
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem Jiaqi Ma Junwei Deng Qiaozhu Mei AAML GNN 11 33 0 21 Jun 2021
Unsupervised Path Representation Learning with Curriculum Negative Sampling Sean Bin Yang Chenjuan Guo Jilin Hu Jiangtao Tang Bin Yang SSL 16 47 0 17 Jun 2021
Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals Subhabrata Dutta Shravika Mittal Dipankar Das Soumen Chakrabarti Tanmoy Chakraborty 16 0 0 13 Jun 2021
Influence Estimation and Maximization via Neural Mean-Field Dynamics Shushan He H. Zha X. Ye DiffM 10 0 0 03 Jun 2021
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning Tong Chen Hongzhi Yin Jie Ren Zi Huang Xiangliang Zhang Hao Wang 25 4 0 04 Apr 2021
A Survey on Embedding Dynamic Graphs Claudio D. T. Barros Matheus R. F. Mendonça A. Vieira A. Ziviani AI4TS AI4CE 21 122 0 04 Jan 2021
Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter Sarah Masud Subhabrata Dutta Sakshi Makkar Chhavi Jain Vikram Goyal A. Das Tanmoy Chakraborty DiffM 14 35 0 09 Oct 2020
GitEvolve: Predicting the Evolution of GitHub Repositories H. Zhou Hareesh Ravi C. Muñiz Vahid Azizi Linda Ness Gerard de Melo Mubbasir Kapadia 9 1 0 09 Oct 2020
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks Jiaqi Ma B. Chang Xuefei Zhang Qiaozhu Mei 31 14 0 05 Oct 2020
CasGCN: Predicting future cascade growth based on information diffusion graph Zhixuan Xu Minghui Qian Xiaowei Huang Jie Meng GNN 6 15 0 10 Sep 2020
Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach Qihang Zhao 8 4 0 06 Sep 2020
Network Diffusions via Neural Mean-Field Dynamics Shushan He H. Zha X. Ye DiffM 19 6 0 16 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 17 119 0 09 Jun 2020
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances Fan Zhou Xovee Xu Goce Trajcevski Kunpeng Zhang 6 171 0 22 May 2020
Cascade-LSTM: Predicting Information Cascades using Deep Neural Networks Sameera Horawalavithana J. Skvoretz Adriana Iamnitchi 6 5 0 26 Apr 2020
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact Fan Zhou Xovee Xu Ce Li Goce Trajcevski Ting Zhong Kunpeng Zhang 11 16 0 26 Mar 2020
Deep Collaborative Embedding for information cascade prediction Yuhui Zhao Ning Yang Tao Lin Philip S. Yu GNN 6 13 0 18 Jan 2020
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction Aravind Sankar Xinyang Zhang A. Krishnan Jiawei Han GNN 20 80 0 01 Jan 2020