Awesome Computer Science & Game Theory

Learning Optimal Dynamic Matching via Graph Neural Networks (2026)

Genta Okada et al.

1.94

What Makes Majority Illusion Easy to Detect? (2026)

\v{S}imon Schierreich and Ildik\'o Schlotter

1.89

Networked Information Aggregation for Binary Classification (2026)

MohammadHossein Bateni et al.

1.83

A Benchmark for Strategic Auditee Gaming Under Continuous Compliance Monitoring (2026)

Florian A. D. Burnat et al.

1.83

Quotient Semivalues for False-Name-Resistant Data Attribution (2026)

Florian A. D. Burnat et al.

1.83

Differentially Private Auditing Under Strategic Response (2026)

Florian A. D. Burnat

1.83

Group Vitality Indices: Axioms and Algorithms (2026)

Natalia Kucharczuk and Oskar Skibski

1.83

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector (2026)

Junhao Wei et al.

1.83

A Network Formation Game for Katz Centrality Maximization: A Resource Allocation Perspective (2026)

Balaji R et al.

1.78

The CriticalSet problem: Identifying Critical Contributors in Bipartite Dependency Networks (2026)

Sebastiano A. Piccolo and Andrea Tagarelli

1.78

Distributed Learning over Noisy Communication Networks (2026)

Emrah Akyol et al.

1.61

Attacking and Securing Community Detection: A Game-Theoretic Framework (2025)

Yifan Niu et al.

1.56

Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers (2025)

Yuhan Cao et al.

1.50

Fast and the Furious: Hot Starts in Pursuit-Evasion Games (2025)

Gabriel Smithline et al.

1.44

Going with the Flow: Approximating Banzhaf Values via Graph Neural Networks (2025)

Benjamin Kempinski et al.

1.44

The Bidding Games: Reinforcement Learning for MEV Extraction on Polygon Blockchain (2025)

Andrei Seoev et al.

1.44

Exploring Emergent Topological Properties in Socio-Economic Networks through Learning Heterogeneity (2025)

Chanuka Karavita et al.

1.44

From Leiden to Pleasure Island: The Constant Potts Model for Community Detection as a Hedonic Game (2025)

Lucas Lopes Felipe and Konstantin Avrachenkov and Daniel Sadoc Menasche

1.39

Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures (2025)

Ruimeng Hu et al.

1.39

A Game-Theoretic Framework for Network Formation in Large Populations (2025)

Gokce Dayanikli and Mathieu Lauriere

1.33

Asymmetric Network Games: $\alpha$-Potential Function and Learning (2025)

Kiran Rokade et al.

1.33

The Price of Uncertainty for Social Consensus (2025)

Yunzhe Bai et al.

1.33

Networked Information Aggregation via Machine Learning (2025)

Michael Kearns et al.

1.28

Strategyproofness and Monotone Allocation of Auction in Social Networks (2025)

Yuhang Guo et al.

1.28

Explainable Graph Neural Networks via Structural Externalities (2025)

Lijun Wu et al.

1.28

Dynamic Evolution of Complex Networks: A Reinforcement Learning Approach Applying Evolutionary Games to Community Structure (2025)

Bin Pi et al.

1.22

Coevolution of Actions and Opinions in Networks of Coordinating and Anti-Coordinating Agents (2025)

Hong Liang et al.

1.17

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs (2025)

Zijian An and Lifeng Zhou

1.17

On Signed Network Games with Binary Actions (2025)

Martina Vanelli et al.

1.17

Cooperative Causal GraphSAGE (2025)

Zaifa Xue et al.

1.17

Modeling Inequality in Complex Networks of Strategic Agents using Iterative Game-Theoretic Transactions (2025)

Mayank Kejriwal and Yuesheng Luo

1.17

Bayesian Graph Traversal (2025)

William N. Caballero et al.

1.06

Convergence and Connectivity: Dynamics of Multi-Agent Q-Learning in Random Networks (2025)

Dan Leonte et al.

1.06

Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation (2025)

Hongliang Chi et al.

1.06

Data Pricing for Graph Neural Networks without Pre-purchased Inspection (2025)

Yiping Liu et al.

1.00

Drivers of cooperation in social dilemmas on higher-order networks (2025)

Onkar Sadekar et al.

1.00

Opinion Dynamics with Multiple Adversaries (2025)

Akhil Jalan et al.

1.00

Laplacian Eigenvector Centrality (2025)

Koya Shimono and Wataru Tamura

0.94

Information Design for Adaptive Organizations (2025)

Wataru Tamura

0.94

Learning Mean Field Control on Sparse Graphs (2025)

Christian Fabian et al.

0.94

Evolution of Cooperation in the Presence of Higher-Order Interactions: from Networks to Hypergraphs (2020)

Giulio Burgio et al.

—

Curriculum learning for multilevel budgeted combinatorial problems (2020)

Adel Nabli et al.

—

Targeted Intervention in Random Graphs (2020)

William Brown and Utkarsh Patange

—

A Theory of Hypergames on Graphs for Synthesizing Dynamic Cyber Defense with Deception (2020)

Abhishek N. Kulkarni and Jie Fu

—

Emergence of complex data from simple local rules in a network game (2020)

Felipe S. Abrah\~ao et al.

—

Relaxing Common Belief for Social Networks (2020)

Noah Burrell et al.

—

A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions (2020)

Mengyuan Lee et al.

—

Fairness in Influence Maximization through Randomization (2020)

Ruben Becker et al.

—

Allocating marketing resources over social networks: A long-term analysis (2020)

Vineeth S. Varma et al.

—

Being Central on the Cheap: Stability in Heterogeneous Multiagent Centrality Games (2020)

Gabriel Istrate and Cosmin Bonchi\c{s}

—

Selfish Creation of Social Networks (2020)

Davide Bil\`o et al.

—

Games on Endogenous Networks (2021)

Evan Sadler and Benjamin Golub

—

Discord and Harmony in Networks (2021)

Andrea Galeotti et al.

—

Network Defense is Not a Game (2021)

Andres Molina-Markham et al.

—

Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play (2021)

Wanqi Xue et al.

—

Solving Graph-based Public Good Games with Tree Search and Imitation Learning (2021)

Victor-Alexandru Darvariu et al.

—

Bailouts in Financial Networks (2021)

Beni Egressy et al.

—

Information Spread with Error Correction (2021)

Omri Ben-Eliezer and Elchanan Mossel and Madhu Sudan

—

Emerging Methods of Auction Design in Social Networks (2021)

Yuhang Guo et al.

—

Investigating and Modeling the Dynamics of Long Ties (2021)

Ding Lyu et al.

—

Awesome Computer Science & Game Theory

Datasets & benchmarks

Key papers

Computer Science & Game Theory

Awesome Computer Science & Game Theory

Datasets & benchmarks

Key papers