A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
Fuente:
arXiv
Saved in:
| Main Authors: | Liao, Ningyi, Liu, Haoyu, Zhu, Zulun, Luo, Siqiang, Lakshmanan, Laks V. S. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Coden: Efficient Temporal Graph Neural Networks for Continuous Prediction
by: Zhu, Zulun, et al.
Published: (2026)
by: Zhu, Zulun, et al.
Published: (2026)
SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation
by: Liu, Haoyu, et al.
Published: (2023)
by: Liu, Haoyu, et al.
Published: (2023)
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
by: Ding, Dujian, et al.
Published: (2024)
by: Ding, Dujian, et al.
Published: (2024)
Modality-free Graph In-context Alignment
by: Zhuo, Wei, et al.
Published: (2026)
by: Zhuo, Wei, et al.
Published: (2026)
DHIL-GT: Scalable Graph Transformer with Decoupled Hierarchy Labeling
by: Liao, Ningyi, et al.
Published: (2024)
by: Liao, Ningyi, et al.
Published: (2024)
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
by: Wang, Pengyun, et al.
Published: (2024)
by: Wang, Pengyun, et al.
Published: (2024)
Revisiting Graph Autoencoders as Implicit Contrastive Learners
by: Li, Jintang, et al.
Published: (2024)
by: Li, Jintang, et al.
Published: (2024)
Benchmarking Positional Encodings for GNNs and Graph Transformers
by: Grötschla, Florian, et al.
Published: (2024)
by: Grötschla, Florian, et al.
Published: (2024)
GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph
by: Luo, Yuebo, et al.
Published: (2026)
by: Luo, Yuebo, et al.
Published: (2026)
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
by: Wang, Kai, et al.
Published: (2024)
by: Wang, Kai, et al.
Published: (2024)
MoSE: Unveiling Structural Patterns in Graphs via Mixture of Subgraph Experts
by: Ye, Junda, et al.
Published: (2025)
by: Ye, Junda, et al.
Published: (2025)
KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation
by: Hashemi, Farnoosh, et al.
Published: (2025)
by: Hashemi, Farnoosh, et al.
Published: (2025)
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
by: Yi, Lu, et al.
Published: (2025)
by: Yi, Lu, et al.
Published: (2025)
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
by: Liao, Ningyi, et al.
Published: (2024)
by: Liao, Ningyi, et al.
Published: (2024)
Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency
by: Chen, Rongqin, et al.
Published: (2025)
by: Chen, Rongqin, et al.
Published: (2025)
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
by: Ding, Dujian, et al.
Published: (2024)
by: Ding, Dujian, et al.
Published: (2024)
CAMAL: Optimizing LSM-trees via Active Learning
by: Yu, Weiping, et al.
Published: (2024)
by: Yu, Weiping, et al.
Published: (2024)
Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
by: Liao, Tongzhou, et al.
Published: (2024)
by: Liao, Tongzhou, et al.
Published: (2024)
Acceleration Algorithms in GNNs: A Survey
by: Ma, Lu, et al.
Published: (2024)
by: Ma, Lu, et al.
Published: (2024)
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks
by: Ai, Xing, et al.
Published: (2024)
by: Ai, Xing, et al.
Published: (2024)
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
by: Cheng, Yao, et al.
Published: (2023)
by: Cheng, Yao, et al.
Published: (2023)
Controlled LLM Training on Spectral Sphere
by: Xie, Tian, et al.
Published: (2026)
by: Xie, Tian, et al.
Published: (2026)
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm
by: Liu, Meng, et al.
Published: (2022)
by: Liu, Meng, et al.
Published: (2022)
Unsupervised Optimisation of GNNs for Node Clustering
by: Leeney, William, et al.
Published: (2024)
by: Leeney, William, et al.
Published: (2024)
On the Expressive Power of GNNs for Boolean Satisfiability
by: Peltonen, Saku, et al.
Published: (2026)
by: Peltonen, Saku, et al.
Published: (2026)
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One
by: Zhang, Hongyuan, et al.
Published: (2023)
by: Zhang, Hongyuan, et al.
Published: (2023)
Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
by: Zhu, Jing, et al.
Published: (2024)
by: Zhu, Jing, et al.
Published: (2024)
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
by: Xue, Ruizhan, et al.
Published: (2025)
by: Xue, Ruizhan, et al.
Published: (2025)
Binarizing Physics-Inspired GNNs for Combinatorial Optimization
by: Krutský, Martin, et al.
Published: (2025)
by: Krutský, Martin, et al.
Published: (2025)
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
by: Gao, Hang, et al.
Published: (2025)
by: Gao, Hang, et al.
Published: (2025)
On Effectiveness and Efficiency of Agentic Tool-calling and RL Training
by: Liu, Tong, et al.
Published: (2026)
by: Liu, Tong, et al.
Published: (2026)
Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution
by: Ferrini, Francesco, et al.
Published: (2026)
by: Ferrini, Francesco, et al.
Published: (2026)
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
by: Guo, Kai, et al.
Published: (2024)
by: Guo, Kai, et al.
Published: (2024)
Understanding and Improving Laplacian Positional Encodings For Temporal GNNs
by: Galron, Yaniv, et al.
Published: (2025)
by: Galron, Yaniv, et al.
Published: (2025)
Message Passing on the Edge: Towards Scalable and Expressive GNNs
by: Barceló, Pablo, et al.
Published: (2025)
by: Barceló, Pablo, et al.
Published: (2025)
GraphBridge: Towards Arbitrary Transfer Learning in GNNs
by: Ju, Li, et al.
Published: (2025)
by: Ju, Li, et al.
Published: (2025)
ConstellationNet: Reinventing Spatial Clustering through GNNs
by: Gao, Aidan, et al.
Published: (2025)
by: Gao, Aidan, et al.
Published: (2025)
MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs
by: Zhao, Chenchen, et al.
Published: (2025)
by: Zhao, Chenchen, et al.
Published: (2025)
Parameter Efficiency Is Not Memory Efficiency: Rethinking Fine-Tuning for On-Device LLM Adaptation
by: Tenison, Irene, et al.
Published: (2026)
by: Tenison, Irene, et al.
Published: (2026)
Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis
by: Li, Zhifei, et al.
Published: (2024)
by: Li, Zhifei, et al.
Published: (2024)
Similar Items
-
Coden: Efficient Temporal Graph Neural Networks for Continuous Prediction
by: Zhu, Zulun, et al.
Published: (2026) -
SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation
by: Liu, Haoyu, et al.
Published: (2023) -
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
by: Ding, Dujian, et al.
Published: (2024) -
Modality-free Graph In-context Alignment
by: Zhuo, Wei, et al.
Published: (2026) -
DHIL-GT: Scalable Graph Transformer with Decoupled Hierarchy Labeling
by: Liao, Ningyi, et al.
Published: (2024)