Cover Image

Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Duy, Dang Sy, Chien, Nguyen Duy, Dev, Kapil, Nijsse, Jeff
Format:	Preprint
Published:	2026
Subjects:	Machine Learning 68T07, 68T05, 91G99 I.2.6; I.5.2; H.2.8
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
by: Pather, Kaviraj, et al.
Published: (2025)

An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
by: Saini, Saurabh, et al.
Published: (2026)

On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
by: Akella, Aditya
Published: (2025)

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

CellARC: Measuring Intelligence with Cellular Automata
by: Lžičař, Miroslav
Published: (2025)

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

Approaches to Semantic Textual Similarity in Slovak Language: From Algorithms to Transformers
by: Radosky, Lukas, et al.
Published: (2026)

A Comparison Between Decision Transformers and Traditional Offline Reinforcement Learning Algorithms
by: Caunhye, Ali Murtaza, et al.
Published: (2025)

Law-Strength Frontiers and a No-Free-Lunch Result for Law-Seeking Reinforcement Learning on Volatility Law Manifolds
by: Zhang, Jian'an
Published: (2025)

Advances in Set Function Learning: A Survey of Techniques and Applications
by: Xie, Jiahao, et al.
Published: (2025)

ProfileXAI: User-Adaptive Explainable AI
by: Corrales, Gilber A., et al.
Published: (2025)

Effective High-order Graph Representation Learning for Credit Card Fraud Detection
by: Zou, Yao, et al.
Published: (2025)

EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
by: K, Prasanth K, 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)

KL-Regularised Q-Learning: A Token-level Action-Value perspective on Online RLHF
by: Brown, Jason R, et al.
Published: (2025)

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
by: Pepe, Alberto, et al.
Published: (2026)

AI Model for Predicting Binding Affinity of Antidiabetic Compounds Targeting PPAR
by: Aman, La Ode, et al.
Published: (2024)

Learning from Preferences and Mixed Demonstrations in General Settings
by: Brown, Jason R, et al.
Published: (2025)

Customizing Graph Neural Networks using Path Reweighting
by: Chen, Jianpeng, et al.
Published: (2021)

Think, Act, Learn: A Framework for Autonomous Robotic Agents using Closed-Loop Large Language Models
by: Menon, Anjali R., et al.
Published: (2025)

From Attribution to Action: A Human-Centered Application of Activation Steering
by: Labarta, Tobias, et al.
Published: (2026)

Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI
by: Platzer, André
Published: (2024)

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
by: Weigang, Li, et al.
Published: (2025)

HRM-Agent: Training a recurrent reasoning model in dynamic environments using reinforcement learning
by: Dang, Long H, et al.
Published: (2025)

Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments
by: Giannini, Federico, et al.
Published: (2026)

A Structural Threshold in Decision Capacity Governs Collapse in Self-Play Reinforcement Learning
by: Kujur, Arahan
Published: (2026)

Inducing Causal World Models in LLMs for Zero-Shot Physical Reasoning
by: Sharma, Aditya, et al.
Published: (2025)

From Imitation to Interaction: Mastering Game of Schnapsen with Shallow Reinforcement Learning
by: Klačan, Ján, et al.
Published: (2026)

Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents
by: Ma, Minghui, et al.
Published: (2026)

Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy Games
by: Qi, Runnan, et al.
Published: (2025)

Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
by: Fu, Tianyu, et al.
Published: (2025)

PathFormer: A Transformer with 3D Grid Constraints for Digital Twin Robot-Arm Trajectory Generation
by: Alanazi, Ahmed, et al.
Published: (2025)

Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution
by: Kim, Soyeon, et al.
Published: (2026)

Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution
by: Kim, Soyeon, et al.
Published: (2026)

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

Evaluating Model-Agnostic Meta-Learning on MetaWorld ML10 Benchmark: Fast Adaptation in Robotic Manipulation Tasks
by: Atamuradov, Sanjar
Published: (2025)

CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
by: Kaiser, Daniel, et al.
Published: (2025)

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

Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search
by: Holt, Samuel, et al.
Published: (2025)