Imagen de Portada

Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gayen, Jayadratha, Pal, Himanshu, Manwani, Naresh, Sharma, Charu
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Social and Information Networks
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Node Classification With Integrated Reject Option
por: Bhaskar, Uday, et al.
Publicado: (2024)

Temporal Link Prediction Using Graph Embedding Dynamics
por: Fard, Sanaz Hasanzadeh, et al.
Publicado: (2024)

Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
por: Heeg, Franziska, et al.
Publicado: (2023)

Heterogeneous Social Event Detection via Hyperbolic Graph Representations
por: Qiu, Zitai, et al.
Publicado: (2023)

Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
por: Zhou, Cai, et al.
Publicado: (2024)

Edge Classification on Graphs: New Directions in Topological Imbalance
por: Cheng, Xueqi, et al.
Publicado: (2024)

Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
por: Liu, Junhua, et al.
Publicado: (2024)

GravityGraphSAGE: Link Prediction in Directed Attributed Graphs
por: Porcedda, Riccardo, et al.
Publicado: (2026)

How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs
por: Perez, Mathilde, et al.
Publicado: (2026)

Diffusion-based Negative Sampling on Graphs for Link Prediction
por: Nguyen, Trung-Kien, et al.
Publicado: (2024)

Manufacturing Service Capability Prediction with Graph Neural Networks
por: Li, Yunqing, et al.
Publicado: (2024)

Spiking Graph Predictive Coding for Reliable OOD Generalization
por: Ren, Jing, et al.
Publicado: (2026)

Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
por: Lee, Dongjin, et al.
Publicado: (2023)

INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
por: Tiukhova, Elena, et al.
Publicado: (2023)

Link Prediction with Physics-Inspired Graph Neural Networks
por: Di Francesco, Andrea Giuseppe, et al.
Publicado: (2024)

Efficient and Privacy-Preserved Link Prediction via Condensed Graphs
por: Long, Yunbo, et al.
Publicado: (2025)

A Community-Enhanced Graph Representation Model for Link Prediction
por: Wang, Lei, et al.
Publicado: (2025)

A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction
por: Sajadi, Nafiseh Sadat, et al.
Publicado: (2026)

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning
por: Srinivasan, Srinitish, et al.
Publicado: (2025)

Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs
por: Eddin, Ahmad Naser, et al.
Publicado: (2024)

Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
por: Li, Dongyue, et al.
Publicado: (2023)

Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
por: Kim, Junghun, et al.
Publicado: (2024)

Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs
por: Gurumurthy, Kishan, et al.
Publicado: (2025)

GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
por: Wang, Zixiao, et al.
Publicado: (2022)

Machine Learning on Dynamic Graphs: A Survey on Applications
por: Fard, Sanaz Hasanzadeh
Publicado: (2024)

Simplifying Subgraph Representation Learning for Scalable Link Prediction
por: Louis, Paul, et al.
Publicado: (2023)

Predicting Channel Closures in the Lightning Network with Machine Learning
por: Antonelli, Simone, et al.
Publicado: (2026)

GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
por: Wang, Hewen, et al.
Publicado: (2025)

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
por: Zhang, Tianyi, et al.
Publicado: (2023)

Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
por: Ko, Yunyong, et al.
Publicado: (2023)

Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction
por: Cai, Mingfei, et al.
Publicado: (2024)

Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks
por: Sharma, Saurabh, et al.
Publicado: (2024)

Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning
por: Chung, Hsing-Huan, et al.
Publicado: (2025)

Unsupervised Learning of Local Updates for Maximum Independent Set in Dynamic Graphs
por: Parkar, Devendra, et al.
Publicado: (2025)

HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
por: Besta, Maciej, et al.
Publicado: (2023)

Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
por: Dong, Yuxin, et al.
Publicado: (2024)

Using Graph Neural Networks to Predict Local Culture
por: Silva, Thiago H, et al.
Publicado: (2024)

EdgeMask-DG*: Learning Domain-Invariant Graph Structures via Adversarial Edge Masking
por: Bhattacharya, Rishabh, et al.
Publicado: (2026)

Predicting the structure of dynamic graphs
por: Kandanaarachchi, Sevvandi, et al.
Publicado: (2024)

EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-like Model
por: Hossain, Ismail, et al.
Publicado: (2024)