influence maximization

Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints ICML 2022 Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback AAAI 2021 Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently AAAI 2021 CLAIM: curriculum learning policy for influence maximization in unknown social networks UAI 2021 Contingency-aware influence maximization: A reinforcement learning approach UAI 2021 Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks ICML 2021 Dynamic influence maximization NeurIPS 2021 Fair Influence Maximization: a Welfare Optimization Approach AAAI 2021 Fairness in Influence Maximization through Randomization AAAI 2021 Network Inference and Influence Maximization from Samples ICML 2021 RIM: Reliable Influence-based Active Learning on Graphs NeurIPS 2021 Two Influence Maximization Games on Graphs Made Temporal IJCAI 2021 Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization AAAI 2020 Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks IJCAI 2020 An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints AAAI 2020 Balancing Spreads of Influence in a Social Network AAAI 2020 Budgeted Online Influence Maximization ICML 2020 Correlation Robust Influence Maximization NeurIPS 2020 Election Control in Social Networks via Edge Addition or Removal AAAI 2020 GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs NeurIPS 2020 Generalized Nonbacktracking Bounds on the Influence JMLR 2020 Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations AAAI 2020 Network Diffusions via Neural Mean-Field Dynamics NeurIPS 2020 Opinion Maximization in Social Trust Networks IJCAI 2020 Adaptive Influence Maximization with Myopic Feedback NeurIPS 2019