Cover Image

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Kun, Zhang, Guibin, Zhang, Xinnan, Fang, Junfeng, Wu, Xun, Li, Guohao, Pan, Shirui, Huang, Wei, Liang, Yuxuan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Exploring the Potential of Large Language Models for Heterophilic Graphs
by: Wu, Yuxia, et al.
Published: (2024)

Heterophilic Graph Neural Networks Optimization with Causal Message-passing
by: Wang, Botao, et al.
Published: (2024)

BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs
by: Ma, Tianyi, et al.
Published: (2026)

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

GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
by: Zhao, Songwei, et al.
Published: (2025)

HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
by: Zhang, Shuaicheng, 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)

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

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

Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
by: Lei, Han, et al.
Published: (2025)

CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
by: He, Silu, et al.
Published: (2023)

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

HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs
by: Li, Shujie, et al.
Published: (2025)

GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification
by: Sinha, Aarush
Published: (2025)

Beyond Homophily: Community Search on Heterophilic Graphs
by: Sima, Qing, et al.
Published: (2026)

SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering
by: Chen, Jianpeng, et al.
Published: (2024)

Cost-Sensitive Neighborhood Aggregation for Heterophilous Graphs: When Does Per-Edge Routing Help?
by: Weiss, Eyal
Published: (2026)

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

Graph Sparsification via Mixture of Graphs
by: Zhang, Guibin, et al.
Published: (2024)

Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts
by: Wang, Kun, 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)

Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
by: Park, MoonJeong, et al.
Published: (2024)

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
by: Chen, Zihan, et al.
Published: (2025)

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

Language Models as Messengers: Enhancing Message Passing in Heterophilic Graph Learning
by: Cheng, Dawei, et al.
Published: (2025)

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects
by: Liu, Yixin, et al.
Published: (2025)

Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One
by: Zhang, Hongyuan, et al.
Published: (2023)

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

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

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

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

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
by: Zhang, Guibin, et al.
Published: (2024)

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

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

GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph
by: Luo, Yuebo, et al.
Published: (2026)

Trustworthy Graph Neural Networks: Aspects, Methods and Trends
by: Zhang, He, et al.
Published: (2022)

Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm
by: Liu, Meng, et al.
Published: (2022)