Cover Image

A Primer on Temporal Graph Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rahman, Aniq Ur, Coon, Justin P.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Discrete Mathematics Social and Information Networks Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Algorithm for Node Feature Forecasting in Temporal Graphs
by: Rahman, Aniq Ur, et al.
Published: (2024)

Bespoke multiresolution analysis of graph signals
by: Elefante, Giacomo, et al.
Published: (2025)

MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embedding
by: Bongiovanni, Marco, et al.
Published: (2024)

Revisiting Graph Homophily Measures
by: Mironov, Mikhail, et al.
Published: (2024)

Causal Fourier Analysis on Directed Acyclic Graphs and Posets
by: Seifert, Bastian, et al.
Published: (2022)

Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations
by: Hong, Shu, et al.
Published: (2025)

Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
by: Platonov, Oleg, et al.
Published: (2022)

A QUBO Framework for Team Formation
by: Vombatkere, Karan, et al.
Published: (2025)

Frustrated Random Walks: A Fast Method to Compute Node Distances on Hypergraphs
by: Li, Enzhi, et al.
Published: (2024)

A Markov Random Field model for Hypergraph-based Machine Learning
by: Tang, Bohan, et al.
Published: (2023)

Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research
by: Jin, Rong, et al.
Published: (2021)

Prime and Co-prime Integer Matrices
by: Xia, Xiang-Gen, et al.
Published: (2025)

Generating Causal Temporal Interaction Graphs for Counterfactual Validation of Temporal Link Prediction
by: Rahman, Aniq Ur, et al.
Published: (2026)

CayleyPy RL: Pathfinding and Reinforcement Learning on Cayley Graphs
by: Chervov, A., et al.
Published: (2025)

How Many Lines to Paint the City: Exact Edge-Cover in Temporal Graphs
by: Deligkas, Argyrios, et al.
Published: (2024)

SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks
by: Khalid, Maryam, et al.
Published: (2024)

Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality
by: Li, Zihao, et al.
Published: (2024)

Identifying and Characterising Higher Order Interactions in Mobility Networks Using Hypergraphs
by: Sambaturu, Prathyush, et al.
Published: (2025)

Transition Graph Properties of Target Class Classification
by: Aslanyan, Levon, et al.
Published: (2024)

ReLU Networks for Exact Generation of Similar Graphs
by: Ghafoor, Mamoona, et al.
Published: (2026)

Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
by: Mehrabian, Abbas, et al.
Published: (2023)

Discrete scalar curvature as a weighted sum of Ollivier-Ricci curvatures
by: Hickok, Abigail, et al.
Published: (2025)

Learning Optimal Graph Filters for Clustering of Attributed Graphs
by: Ortiz-Bouza, Meiby, et al.
Published: (2022)

A Hierarchical Scale-free Graph Generator under Limited Resources
by: Qi, Xiaorui, et al.
Published: (2024)

Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
by: Marchetti, Giovanni Luca, et al.
Published: (2023)

Learning with the $p$-adics
by: Martins, André F. T.
Published: (2025)

Expressivity of Geometric Inhomogeneous Random Graphs -- Metric and Non-Metric
by: Dayan, Benjamin, et al.
Published: (2024)

Constructing and Sampling Directed Graphs with Linearly Rescaled Degree Matrices
by: Yan, Yunxiang, et al.
Published: (2025)

Plum: Prompt Learning using Metaheuristic
by: Pan, Rui, et al.
Published: (2023)

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks
by: Semiari, Omid, et al.
Published: (2025)

Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach
by: Li, Shujing, et al.
Published: (2024)

Causal Models for Growing Networks
by: Bravo-Hermsdorff, Gecia, et al.
Published: (2025)

Trees and Graphs with Non Log-concave Dominating Set Sequence via AI Tools
by: Du, Alina, et al.
Published: (2026)

A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
by: Sanokowski, Sebastian, et al.
Published: (2024)

Bures-Wasserstein Means of Graphs
by: Haasler, Isabel, et al.
Published: (2023)

Optimizing LoRa for Edge Computing with TinyML Pipeline for Channel Hopping
by: Grunewald, Marla, et al.
Published: (2024)

Analysis of Corrected Graph Convolutions
by: Wang, Robert, et al.
Published: (2024)

Future Directions in the Theory of Graph Machine Learning
by: Morris, Christopher, et al.
Published: (2024)

Accumulator-Aware Post-Training Quantization for Large Language Models
by: Colbert, Ian, et al.
Published: (2024)

Structural perspective on constraint-based learning of Markov networks
by: Korhonen, Tuukka, et al.
Published: (2024)