GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Zhongtian, Harit, Anoushka, Cristea, Alexandra, Donnelly, Christl A., Liò, Pietro |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning
by: Sun, Zhongtian, et al.
Published: (2025)
by: Sun, Zhongtian, et al.
Published: (2025)
RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
by: Sun, Zhongtian, et al.
Published: (2025)
by: Sun, Zhongtian, et al.
Published: (2025)
Causal Spherical Hypergraph Networks for Modelling Social Uncertainty
by: Harit, Anoushka, et al.
Published: (2025)
by: Harit, Anoushka, et al.
Published: (2025)
ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations
by: Harit, Anoushka, et al.
Published: (2025)
by: Harit, Anoushka, et al.
Published: (2025)
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs
by: Harit, Anoushka, et al.
Published: (2024)
by: Harit, Anoushka, et al.
Published: (2024)
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
by: Lu, Qincheng, et al.
Published: (2024)
by: Lu, Qincheng, et al.
Published: (2024)
Superposition in Graph Neural Networks
by: Pertl, Lukas, et al.
Published: (2025)
by: Pertl, Lukas, et al.
Published: (2025)
Towards Mechanistic Interpretability of Graph Transformers via Attention Graphs
by: El, Batu, et al.
Published: (2025)
by: El, Batu, et al.
Published: (2025)
From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere
by: Harit, Anoushka, et al.
Published: (2025)
by: Harit, Anoushka, et al.
Published: (2025)
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
by: He, Silu, et al.
Published: (2023)
by: He, Silu, et al.
Published: (2023)
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
by: Wang, Kun, et al.
Published: (2024)
by: Wang, Kun, et al.
Published: (2024)
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
by: Lei, Han, et al.
Published: (2025)
by: Lei, Han, et al.
Published: (2025)
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis
by: Zuo, Kaiwen, et al.
Published: (2024)
by: Zuo, Kaiwen, et al.
Published: (2024)
EWC-Guided Diffusion Replay for Exemplar-Free Continual Learning in Medical Imaging
by: Harit, Anoushka, et al.
Published: (2025)
by: Harit, Anoushka, et al.
Published: (2025)
Heterophilic Graph Neural Networks Optimization with Causal Message-passing
by: Wang, Botao, et al.
Published: (2024)
by: Wang, Botao, et al.
Published: (2024)
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
by: Ni, Hang, et al.
Published: (2025)
by: Ni, Hang, et al.
Published: (2025)
How Smoothing is N-simplicial Attention?
by: Dussolle, Alexandre, et al.
Published: (2025)
by: Dussolle, Alexandre, et al.
Published: (2025)
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
by: Zhao, Songwei, et al.
Published: (2025)
by: Zhao, Songwei, et al.
Published: (2025)
Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
by: Wang, Xiangmeng, et al.
Published: (2026)
by: Wang, Xiangmeng, et al.
Published: (2026)
Will More Expressive Graph Neural Networks do Better on Generative Tasks?
by: Zou, Xiandong, et al.
Published: (2023)
by: Zou, Xiandong, et al.
Published: (2023)
Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
by: Hossen, Md Sazzad, et al.
Published: (2026)
by: Hossen, Md Sazzad, et al.
Published: (2026)
Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
by: Cornelio, Cristina, et al.
Published: (2025)
by: Cornelio, Cristina, et al.
Published: (2025)
Cluster Attention for Graph Machine Learning
by: Platonov, Oleg, et al.
Published: (2026)
by: Platonov, Oleg, et al.
Published: (2026)
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
by: Chen, Yuhan, et al.
Published: (2025)
by: Chen, Yuhan, et al.
Published: (2025)
CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
by: Purves, Carlos, et al.
Published: (2026)
by: Purves, Carlos, et al.
Published: (2026)
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
by: Yang, Jinluan, et al.
Published: (2024)
by: Yang, Jinluan, et al.
Published: (2024)
Dual-channel Heterophilic Message Passing for Graph Fraud Detection
by: Zhang, Wenxin, et al.
Published: (2025)
by: Zhang, Wenxin, et al.
Published: (2025)
BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs
by: Ma, Tianyi, et al.
Published: (2026)
by: Ma, Tianyi, et al.
Published: (2026)
Explaining the Explainers in Graph Neural Networks: a Comparative Study
by: Longa, Antonio, et al.
Published: (2022)
by: Longa, Antonio, et al.
Published: (2022)
MoRE-GNN: Multi-omics Data Integration with a Heterogeneous Graph Autoencoder
by: Wang, Zhiyu, et al.
Published: (2025)
by: Wang, Zhiyu, et al.
Published: (2025)
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
by: Zhang, Cong, et al.
Published: (2024)
by: Zhang, Cong, et al.
Published: (2024)
GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification
by: Sinha, Aarush
Published: (2025)
by: Sinha, Aarush
Published: (2025)
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
by: Longa, Antonio, et al.
Published: (2023)
by: Longa, Antonio, et al.
Published: (2023)
Algebraic Priors for Approximately Equivariant Networks
by: Ali, Riccardo, et al.
Published: (2025)
by: Ali, Riccardo, et al.
Published: (2025)
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning
by: E, Jiawei, et al.
Published: (2024)
by: E, Jiawei, et al.
Published: (2024)
HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily
by: Li, Xinyi, et al.
Published: (2026)
by: Li, Xinyi, et al.
Published: (2026)
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
by: Xu, Zhuo, et al.
Published: (2024)
by: Xu, Zhuo, et al.
Published: (2024)
Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning
by: Debot, David, et al.
Published: (2025)
by: Debot, David, et al.
Published: (2025)
How to make Medical AI Systems safer? Simulating Vulnerabilities, and Threats in Multimodal Medical RAG System
by: Zuo, Kaiwen, et al.
Published: (2025)
by: Zuo, Kaiwen, et al.
Published: (2025)
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)
by: Wang, Ling, et al.
Published: (2024)
Similar Items
-
Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning
by: Sun, Zhongtian, et al.
Published: (2025) -
RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
by: Sun, Zhongtian, et al.
Published: (2025) -
Causal Spherical Hypergraph Networks for Modelling Social Uncertainty
by: Harit, Anoushka, et al.
Published: (2025) -
ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations
by: Harit, Anoushka, et al.
Published: (2025) -
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs
by: Harit, Anoushka, et al.
Published: (2024)