Graph Representation Learning - Edgentiq

Bridging Language and Structure: A Look at Large Language Models and Text-Attributed Graphs

Unlocking Global Insights in Graphs with Active Diffusion

Bridging the Gap: How Diffusion Models Enhance Knowledge Transfer from GNNs to MLPs for Self-Supervised Graph Learning

G2LFormer: A Global-to-Local Attention Scheme for Graph Transformers

GTHNA: A New Framework for Detecting Anomalies in Graph Data

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Decoding Superposition: A Deep Dive into GNN Interpretability

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Boosting Graph Neural Network Performance by Preserving Node Attributes

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EvoFormer: A New Approach to Understanding Evolving Networks

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Solving Codebook Collapse in Graph Data with RGVQ

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AMLP: An Unsupervised Approach for Adaptive Graph Representation Learning

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GLANCE: Enhancing Graph Neural Networks for Diverse and Complex Data

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Logical Learning on Graphs: Introducing the Graph Tsetlin Machine

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HGMP: A Unified Approach to Multi-Task Learning on Complex Graph Data

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Gen AI News and Updates

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Bridging Language and Structure: A Look at Large Language Models and Text-Attributed Graphs

October 27, 2025

Unlocking Global Insights in Graphs with Active Diffusion

October 23, 2025

Bridging the Gap: How Diffusion Models Enhance Knowledge Transfer from GNNs to MLPs for Self-Supervised Graph Learning

October 7, 2025