Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Mathematics
Mathematics & Optimization
›
Mathematics
›
Graph Theory
1375 directly classified papers
Papers per year
2003: 1
2006: 12
2007: 6
2008: 14
2009: 10
2010: 20
2011: 26
2012: 33
2013: 34
2014: 54
2015: 59
2016: 44
2017: 53
2018: 89
2019: 127
2020: 149
2021: 164
2022: 145
2023: 129
2024: 129
2025: 67
2026: 10
Papers
On Sufficient Graphical Models
JMLR 2024
DAG-Informed Structure Learning from Multi-Dimensional Point Processes
JMLR 2024
Learning-Based Algorithms for Graph Searching Problems
AISTATS 2024
Modeling Random Networks with Heterogeneous Reciprocity
JMLR 2024
Optimal Quasi-clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-partitioned Community Mining
AAAI 2024
Maxileximin Envy Allocations and Connected Goods
AAAI 2024
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs
AAAI 2024
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks
AAAI 2024
Complete Neural Networks for Complete Euclidean Graphs
AAAI 2024
Learning the Topology and Behavior of Discrete Dynamical Systems
AAAI 2024
Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract)
COLT 2024
Thresholds for Reconstruction of Random Hypergraphs From Graph Projections
COLT 2024
Representing Compounding with OntoLex. An Evaluation of Vocabularies for Word Formation Resources
COLING 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
NIPS 2024
Semantic Routing via Autoregressive Modeling
NIPS 2024
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
NIPS 2024
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields
AISTATS 2024
Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust
NIPS 2024
A Context-Enhanced Framework for Sequential Graph Reasoning
IJCAI 2024
A tensor factorization model of multilayer network interdependence
JMLR 2024
Axiomatic effect propagation in structural causal models
JMLR 2024
DNNLasso: Scalable Graph Learning for Matrix-Variate Data
AISTATS 2024
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology
JMLR 2024
Estimation of partially known Gaussian graphical models with score-based structural priors
AISTATS 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization
AISTATS 2024
<
1
…
4
5
6
…
55
>