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Bibliographic Details
Main Authors:	Kundu, Turja, Bhowmick, Sanjukta
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.14908
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Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
by: Lei, Han, et al.
Published: (2025)

Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs
by: Yang, Yachao, et al.
Published: (2024)

Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing
by: Kohn, Matthias, et al.
Published: (2024)

Exploring Adaptive Structure Learning for Heterophilic Graphs
by: Kaushik, Garv
Published: (2025)

Non-Homophilic Graph Pre-Training and Prompt Learning
by: Yu, Xingtong, et al.
Published: (2024)

Forecasting Antimicrobial Resistance Trends Using Machine Learning on WHO GLASS Surveillance Data: A Retrieval-Augmented Generation Approach for Policy Decision Support
by: Turja, Md Tanvir Hasan
Published: (2026)

Topological Neural Tangent Kernel
by: Krishnagopal, Sanjukta
Published: (2026)

Learning Laplacian Positional Encodings for Heterophilous Graphs
by: Ito, Michael, et al.
Published: (2025)

Task-driven Heterophilic Graph Structure Learning
by: Raghuvanshi, Ayushman, et al.
Published: (2025)

Re-evaluating the Advancements of Heterophilic Graph Learning
by: Luan, Sitao, et al.
Published: (2024)

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
by: Wang, Kun, et al.
Published: (2024)

Resilient Peer-to-peer Learning based on Adaptive Aggregation
by: Bhowmick, Chandreyee, et al.
Published: (2025)

Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks
by: Krishnagopal, Sanjukta
Published: (2026)

Interpretable and Adaptive Node Classification on Heterophilic Graphs via Combinatorial Scoring and Hybrid Learning
by: Vahidi, Soroush
Published: (2025)

Unsupervised Anomaly Detection in Wearable Foot Sensor Data: A Baseline Feasibility Study Towards Diabetic Foot Ulcer Prevention
by: Turja, Md Tanvir Hasan
Published: (2026)

Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
by: Hossen, Md Sazzad, et al.
Published: (2026)

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
by: Wang, Xiangmeng, et al.
Published: (2026)

HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
by: Zhang, Shuaicheng, et al.
Published: (2025)

GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs
by: Ren, Yating, et al.
Published: (2025)

Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
by: Lu, Qincheng, et al.
Published: (2024)

Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
by: Ni, Hang, et al.
Published: (2025)

Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs
by: Gupta, Arman, et al.
Published: (2025)

Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
by: Wu, Yuhao, et al.
Published: (2024)

Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
by: Lu, Qincheng, et al.
Published: (2024)

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
by: Liang, Langzhang, et al.
Published: (2024)

HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity
by: Achten, Sonny, et al.
Published: (2024)

Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs
by: Qiu, Ruizhong, et al.
Published: (2025)

Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
by: Chen, Yuhan, et al.
Published: (2025)

Discovering Invariant Neighborhood Patterns for Heterophilic Graphs
by: Yang, Jinluan, et al.
Published: (2024)

Heterophilous Distribution Propagation for Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024)

GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning
by: Sun, Zhongtian, et al.
Published: (2025)

Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies
by: Alisetti, Sai Vamsi, et al.
Published: (2025)

Distributed Training of Large Graph Neural Networks with Variable Communication Rates
by: Cervino, Juan, et al.
Published: (2024)

Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
by: Zheng, Yilun, et al.
Published: (2024)

Revisiting the Message Passing in Heterophilous Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024)

The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
by: Luan, Sitao, et al.
Published: (2024)

Adapting to Heterophilic Graph Data with Structure-Guided Neighbor Discovery
by: Tenorio, Victor M., et al.
Published: (2025)

Dual-channel Heterophilic Message Passing for Graph Fraud Detection
by: Zhang, Wenxin, et al.
Published: (2025)

Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
by: Yang, Jinluan, et al.
Published: (2024)

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