Cover Image

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Fali, Zhao, Tianxiang, Wang, Suhang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence F.2.2; I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
by: Kurian, Ashley, et al.
Published: (2025)

EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction
by: Yu, Dahai, et al.
Published: (2026)

Evaluating Model Robustness Using Adaptive Sparse L0 Regularization
by: Liu, Weiyou, et al.
Published: (2024)

Continual Learning, Not Training: Online Adaptation For Agents
by: Jaglan, Aman, et al.
Published: (2025)

Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining
by: Li, Houyi, et al.
Published: (2025)

GraphSkill: Documentation-Guided Hierarchical Retrieval-Augmented Coding for Complex Graph Reasoning
by: Wang, Fali, et al.
Published: (2026)

Random Heterogeneous Neurochaos Learning Architecture for Data Classification
by: S, Remya Ajai A, et al.
Published: (2024)

The Hidden Attention of Mamba Models
by: Ali, Ameen, et al.
Published: (2024)

Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
by: Zanna, Khadija, et al.
Published: (2025)

Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset
by: Palit, Sayon, et al.
Published: (2025)

Time-to-Injury Forecasting in Elite Female Football: A DeepHit Survival Approach
by: Catterall, Victoria, et al.
Published: (2026)

Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph
by: Wang, Fali, et al.
Published: (2025)

Biometrics Employing Neural Network
by: Bhuiyan, Sajjad
Published: (2024)

PromptSAM+: Malware Detection based on Prompt Segment Anything Model
by: Wei, Xingyuan, et al.
Published: (2024)

From Pixels to Privacy: Temporally Consistent Video Anonymization via Token Pruning for Privacy Preserving Action Recognition
by: Aslam, Nazia, et al.
Published: (2026)

Transcribing Bengali Text with Regional Dialects to IPA using District Guided Tokens
by: Islam, S M Jishanul, et al.
Published: (2024)

LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models
by: Sikdar, Prateek Kumar
Published: (2026)

Lightweight Quantum-Enhanced ResNet for Coronary Angiography Classification: A Hybrid Quantum-Classical Feature Enhancement Framework
by: Xia, Jingsong
Published: (2026)

DeepContext: Stateful Real-Time Detection of Multi-Turn Adversarial Intent Drift in LLMs
by: Albrethsen, Justin, et al.
Published: (2026)

Remote Sensing-Oriented World Model
by: Lu, Yuxi, et al.
Published: (2025)

Towards Platonic Representation for Table Reasoning: A Foundation for Permutation-Invariant Retrieval
by: Tchuitcheu, Willy Carlos, et al.
Published: (2026)

Large Language Model Interface for Home Energy Management Systems
by: Michelon, François, et al.
Published: (2025)

Policy-Grounded Safety Evaluation of 20 Large Language Models
by: Contreras, Juan Manuel
Published: (2025)

Evaluating the Limitations of Local LLMs in Solving Complex Programming Challenges
by: Matotek, Kadin, et al.
Published: (2025)

CBR -- Boosting Adaptive Classification By Retrieval of Encrypted Network Traffic with Out-of-distribution
by: Lukach, Amir, et al.
Published: (2024)

Mobile Phone Sensor-based Nigerian Driving Dataset to Detect Alcohol-influenced Behaviours
by: Thompson, Iniakpokeikiye Peter, et al.
Published: (2025)

CortexCompile: Harnessing Cortical-Inspired Architectures for Enhanced Multi-Agent NLP Code Synthesis
by: Ramachandran, Gautham, et al.
Published: (2024)

Solve it with EASE
by: Viktorin, Adam, et al.
Published: (2025)

Sequential Cohort Selection
by: Nana, Hortence Phalonne, et al.
Published: (2025)

Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
by: Zimerman, Itamar, et al.
Published: (2024)

Segmenting Action-Value Functions Over Time-Scales in SARSA via TD($Δ$)
by: Humayoo, Mahammad
Published: (2024)

ZTree: A Subgroup Identification Based Decision Tree Learning Framework
by: Cheng, Eric, et al.
Published: (2025)

AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning
by: Alizadeh, Morteza, et al.
Published: (2025)

Transfer Learning for a Class of Cascade Dynamical Systems
by: Rabiei, Shima, et al.
Published: (2024)

Deep-SITAR: A SITAR-Based Deep Learning Framework for Growth Curve Modeling via Autoencoders
by: Hernández, María Alejandra, et al.
Published: (2025)

Time-Scale Separation in Q-Learning: Extending TD($\triangle$) for Action-Value Function Decomposition
by: Humayoo, Mahammad
Published: (2024)

Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting
by: Hakyemez, Tugrul Cabir, et al.
Published: (2024)

TRIM: Achieving Extreme Sparsity with Targeted Row-wise Iterative Metric-driven Pruning
by: Beck, Florentin, et al.
Published: (2025)

The Architecture of Errors: From Universal Impossibility to Patch-Local LLM Reliability
by: Arbuzov, Mikhail L., et al.
Published: (2026)

Circularity and Symmetries of $p$ and $p^{2}$-polygons
by: Haag, Rolf
Published: (2025)