Cover Image

Graph Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xia, Feng, Peng, Ciyuan, Ren, Jing, Febrinanto, Falih Gozi, Luo, Renqiang, Saikrishna, Vidya, Yu, Shuo, Kong, Xiangjie
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence 68T09, 68R10 I.2.6; G.2.2; E.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Outdated Fact Detection in Knowledge Graphs
by: Tu, Huiling, et al.
Published: (2024)

Understanding and Tackling Over-Dilution in Graph Neural Networks
by: Lee, Junhyun, et al.
Published: (2025)

SCNode: Spatial and Contextual Coordinates for Graph Representation Learning
by: Uddin, Md Joshem, et al.
Published: (2024)

PERM EQ x GRAPH EQ: Equivariant Neural Networks for Quantum Molecular Learning
by: Biswas, Saumya, et al.
Published: (2025)

SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention
by: Guo, Dongxin, et al.
Published: (2026)

Entropy Causal Graphs for Multivariate Time Series Anomaly Detection
by: Febrinanto, Falih Gozi, et al.
Published: (2023)

Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
by: Bian, Yijun, et al.
Published: (2024)

Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes
by: Bian, Yijun, et al.
Published: (2024)

Graph Transformers: A Survey
by: Shehzad, Ahsan, et al.
Published: (2024)

Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees
by: Zhou, Zhuoping, et al.
Published: (2026)

Adaptive Negative Scheduling for Graph Contrastive Learning
by: Ali, Adnan, et al.
Published: (2026)

Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach
by: Chen, Xin, et al.
Published: (2024)

Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review
by: Ennadir, Sofiane, et al.
Published: (2024)

Scaling Higher-Order Graph Learning with Maximal Clique Complexes
by: Vialle, Antoine, et al.
Published: (2026)

TopER: Topological Embeddings in Graph Representation Learning
by: Tola, Astrit, et al.
Published: (2024)

Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining
by: Cao, Deyu, et al.
Published: (2025)

Accelerating Materials Discovery: Learning a Universal Representation of Chemical Processes for Cross-Domain Property Prediction
by: Tsitsvero, Mikhail, et al.
Published: (2025)

The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
by: Karn, Isha, et al.
Published: (2025)

When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
by: Chowdhury, Arindam, et al.
Published: (2025)

Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
by: Tiwari, Dhruv
Published: (2025)

Modeling Hypergraph Using Large Language Models
by: Gu, Bingqiao, et al.
Published: (2025)

Sliced-Wasserstein Distribution Alignment Loss Improves the Ultra-Low-Bit Quantization of Large Language Models
by: Cao, Deyu, et al.
Published: (2026)

Measuring Similarity in Causal Graphs: A Framework for Semantic and Structural Analysis
by: Liu, Ning-Yuan Georgia, et al.
Published: (2025)

Dual-Channel Feature Fusion for Joint Prediction in Dynamic Signed Weighted Networks
by: Zhang, Gaoxin, et al.
Published: (2026)

A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
by: Cui, Hejie, et al.
Published: (2023)

Sparse Knowledge Distillation: A Mathematical Framework for Probability-Domain Temperature Scaling and Multi-Stage Compression
by: Flouro, Aaron R., et al.
Published: (2026)

Biomedical Visual Instruction Tuning with Clinician Preference Alignment
by: Cui, Hejie, et al.
Published: (2024)

Predicting Memory Demands of BDD Operations using Maximum Graph Cuts (Extended Paper)
by: Sølvsten, Steffan Christ, et al.
Published: (2023)

Efficient Binary Decision Diagram Manipulation in External Memory
by: Sølvsten, Steffan Christ, et al.
Published: (2021)

Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
by: Hille, Tobias, et al.
Published: (2024)

Classifier-Augmented Generation for Structured Workflow Prediction
by: Gschwind, Thomas, et al.
Published: (2025)

Murphys Laws of AI Alignment: Why the Gap Always Wins
by: Gaikwad, Madhava
Published: (2025)

GLL: A Differentiable Graph Learning Layer for Neural Networks
by: Brown, Jason, et al.
Published: (2024)

LLM Agents for Generating Microservice-based Applications: how complex is your specification?
by: Yellin, Daniel M.
Published: (2025)

Generative AI and the Transformation of Software Development Practices
by: Acharya, Vivek
Published: (2025)

Diffusion-MPC in Discrete Domains: Feasibility Constraints, Horizon Effects, and Critic Alignment: Case study with Tetris
by: Wang, Haochuan Kevin
Published: (2026)

RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
by: Alt, Benjamin, et al.
Published: (2024)

A Systematic Review of Digital Twin-Driven Predictive Maintenance in Industrial Engineering: Taxonomy, Architectural Elements, and Future Research Directions
by: Ismail, Leila, et al.
Published: (2025)

Multi-variable Quantification of BDDs in External Memory using Nested Sweeping (Extended Paper)
by: Sølvsten, Steffan Christ, et al.
Published: (2024)

SLEAN: Simple Lightweight Ensemble Analysis Network for Multi-Provider LLM Coordination: Design, Implementation, and Vibe Coding Bug Investigation Case Study
by: Vargas, Matheus J. T.
Published: (2025)