Cover Image

Understanding and Tackling Over-Dilution in Graph Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Junhyun, Thost, Veronika, Kim, Bumsoo, Kang, Jaewoo, Ma, Tengfei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence 68T07, 68R10, 68T05 I.2.6; G.2.2; F.2.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

DRO-InstructZero: Distributionally Robust Prompt Optimization for Large Language Models
by: Li, Yangyang
Published: (2025)

TableMoE: Neuro-Symbolic Routing for Structured Expert Reasoning in Multimodal Table Understanding
by: Zhang, Junwen, et al.
Published: (2025)

Approaching I/O-optimality for Approximate Attention
by: Papp, Pál András, et al.
Published: (2026)

Automated but Atrophied? Student Over-Reliance vs Expert Augmentation of AI in Learning and Cybersecurity
by: Khan, Koffka
Published: (2025)

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

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

Towards Single Exponential Time for Temporal and Spatial Reasoning: A Study via Redundancy and Dynamic Programming
by: Lagerkvist, Victor, et al.
Published: (2026)

Algorithmic Analysis of Dense Associative Memory: Finite-Size Guarantees and Adversarial Robustness
by: Gaikwad, Madhava
Published: (2026)

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

Causal Direction from Convergence Time: Faster Training in the True Causal Direction
by: Tamim, Abdulrahman
Published: (2026)

BLISS: Bandit Layer Importance Sampling Strategy for Efficient Training of Graph Neural Networks
by: Alsaqa, Omar, et al.
Published: (2025)

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)

Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits
by: Murray, Michael, et al.
Published: (2025)

When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive Depth
by: Guo, Dongxin, et al.
Published: (2026)

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

Graph Learning
by: Xia, Feng, et al.
Published: (2025)

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

Primal-Dual Sample Complexity Bounds for Constrained Markov Decision Processes with Multiple Constraints
by: Buckley, Max, et al.
Published: (2025)

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

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)

Experimental algorithms for the dualization problem
by: Mezzini, Mauro, et al.
Published: (2025)

Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks
by: Amin, M Ruhul
Published: (2025)

Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form QA
by: Badshah, Sher, et al.
Published: (2024)

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

Uncovering Uncertainty in Transformer Inference
by: Brothers, Greyson, et al.
Published: (2024)

Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code
by: Haseeb, Muhammad
Published: (2025)

PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation
by: Basit, Abdul, et al.
Published: (2025)

Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?
by: Cantürk, Semih, et al.
Published: (2026)

On the twin-width of near-regular graphs
by: Heinrich, Irene, et al.
Published: (2025)

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

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

optimize_anything: A Universal API for Optimizing any Text Parameter
by: Agrawal, Lakshya A, et al.
Published: (2026)

Beyond Accuracy: Decomposing the Reasoning Efficiency of LLMs
by: Kaiser, Daniel, et al.
Published: (2026)

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

Attention-based graph neural networks: a survey
by: Sun, Chengcheng, et al.
Published: (2026)