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Graph Theory

1375 directly classified papers

Papers per year

Papers

An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation AAAI 2025
RFL: Simplifying Chemical Structure Recognition with Ring-Free Language AAAI 2025
Modeling Random Networks with Heterogeneous Reciprocity JMLR 2024
Structural perspective on constraint-based learning of Markov networks AISTATS 2024
On Sufficient Graphical Models JMLR 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024
Axiomatic effect propagation in structural causal models JMLR 2024
Estimation of partially known Gaussian graphical models with score-based structural priors AISTATS 2024
Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024
Functional Directed Acyclic Graphs JMLR 2024
An Impossibility Theorem for Node Embedding AISTATS 2024
DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024
Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024
Efficient Graph Laplacian Estimation by Proximal Newton AISTATS 2024
Graph Partitioning with a Move Budget AISTATS 2024
Computing epidemic metrics with edge differential privacy AISTATS 2024
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants AAAI 2024
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs AAAI 2024
Learning-Based Algorithms for Graph Searching Problems AISTATS 2024
Complete Neural Networks for Complete Euclidean Graphs AAAI 2024
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology JMLR 2024
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks AAAI 2024
Learning the Topology and Behavior of Discrete Dynamical Systems AAAI 2024
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes AAAI 2024
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method AISTATS 2024