Saved in:
| Main Authors: | Zhou, Dongzhuoran, Yang, Hui, Xiong, Bo, Ma, Yue, Kharlamov, Evgeny |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.19231 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation
by: Zhu, Yuqicheng, et al.
Published: (2025)
by: Zhu, Yuqicheng, et al.
Published: (2025)
GR-Agent: Adaptive Graph Reasoning Agent under Incomplete Knowledge
by: Zhou, Dongzhuoran, et al.
Published: (2025)
by: Zhou, Dongzhuoran, et al.
Published: (2025)
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
by: He, Yunjie, et al.
Published: (2023)
by: He, Yunjie, et al.
Published: (2023)
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
by: Zhu, Yuqicheng, et al.
Published: (2025)
by: Zhu, Yuqicheng, et al.
Published: (2025)
Generating $SROI^-$ Ontologies via Knowledge Graph Query Embedding Learning
by: He, Yunjie, et al.
Published: (2024)
by: He, Yunjie, et al.
Published: (2024)
Error Slice Discovery via Manifold Compactness
by: Yu, Han, et al.
Published: (2025)
by: Yu, Han, et al.
Published: (2025)
ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs using Numeric Literals
by: Klironomos, Antonis, et al.
Published: (2025)
by: Klironomos, Antonis, et al.
Published: (2025)
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks
by: Yang, Guangrui, et al.
Published: (2024)
by: Yang, Guangrui, et al.
Published: (2024)
Simplifying the Theory on Over-Smoothing
by: Roth, Andreas
Published: (2024)
by: Roth, Andreas
Published: (2024)
Position: Don't be Afraid of Over-Smoothing And Over-Squashing
by: Kormann, Niklas, et al.
Published: (2026)
by: Kormann, Niklas, et al.
Published: (2026)
Generative Model Inversion Through the Lens of the Manifold Hypothesis
by: Peng, Xiong, et al.
Published: (2025)
by: Peng, Xiong, et al.
Published: (2025)
Relieving the Over-Aggregating Effect in Graph Transformers
by: Sun, Junshu, et al.
Published: (2025)
by: Sun, Junshu, et al.
Published: (2025)
Histopathology Image Normalization via Latent Manifold Compaction
by: Zhang, Xiaolong, et al.
Published: (2026)
by: Zhang, Xiaolong, et al.
Published: (2026)
TSC: A Simple Two-Sided Constraint against Over-Smoothing
by: Peng, Furong, et al.
Published: (2024)
by: Peng, Furong, et al.
Published: (2024)
Understanding and Alleviating Memory Consumption in RLHF for LLMs
by: Zhou, Jin, et al.
Published: (2024)
by: Zhou, Jin, et al.
Published: (2024)
Metric Flow Matching for Smooth Interpolations on the Data Manifold
by: Kapuśniak, Kacper, et al.
Published: (2024)
by: Kapuśniak, Kacper, et al.
Published: (2024)
Aggregation on Learnable Manifolds for Asynchronous Federated Optimization
by: Licudi, Archie, et al.
Published: (2025)
by: Licudi, Archie, et al.
Published: (2025)
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness
by: Zhou, Dongzhuoran, et al.
Published: (2025)
by: Zhou, Dongzhuoran, et al.
Published: (2025)
ExeKGLib: A Platform for Machine Learning Analytics based on Knowledge Graphs
by: Klironomos, Antonis, et al.
Published: (2025)
by: Klironomos, Antonis, et al.
Published: (2025)
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
by: Jamadandi, Adarsh, et al.
Published: (2024)
by: Jamadandi, Adarsh, et al.
Published: (2024)
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature
by: Fesser, Lukas, et al.
Published: (2023)
by: Fesser, Lukas, et al.
Published: (2023)
Over-the-Air Federated Learning via Weighted Aggregation
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
Beyond Rigid Alignment: Graph Federated Learning via Dual Manifold Calibration
by: Yu, Wentao, et al.
Published: (2026)
by: Yu, Wentao, et al.
Published: (2026)
Provably Convergent Decentralized Optimization over Directed Graphs under Generalized Smoothness
by: Bo, Yanan, et al.
Published: (2026)
by: Bo, Yanan, et al.
Published: (2026)
Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks
by: Karabulut, Tuğrul Hasan, et al.
Published: (2025)
by: Karabulut, Tuğrul Hasan, et al.
Published: (2025)
MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores
by: Zhou, Fengwei, et al.
Published: (2025)
by: Zhou, Fengwei, et al.
Published: (2025)
Intrinsic Wasserstein Rates for Score-Based Generative Models on Smooth Manifolds
by: Fu, Guoji, et al.
Published: (2026)
by: Fu, Guoji, et al.
Published: (2026)
Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
by: Klironomos, Antonis, et al.
Published: (2026)
by: Klironomos, Antonis, et al.
Published: (2026)
Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey
by: Attali, Hugo, et al.
Published: (2024)
by: Attali, Hugo, et al.
Published: (2024)
Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey
by: Attali, Hugo, et al.
Published: (2026)
by: Attali, Hugo, et al.
Published: (2026)
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
by: Roth, Andreas, et al.
Published: (2023)
by: Roth, Andreas, et al.
Published: (2023)
Comment on "A Note on Over-Smoothing for Graph Neural Networks"
by: Hasson, Razi, et al.
Published: (2025)
by: Hasson, Razi, et al.
Published: (2025)
Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation
by: Ghalkha, Abdulmomen, et al.
Published: (2024)
by: Ghalkha, Abdulmomen, et al.
Published: (2024)
What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge
by: Zhou, Dongzhuoran, et al.
Published: (2025)
by: Zhou, Dongzhuoran, et al.
Published: (2025)
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning
by: Jiang, Zhonghua, et al.
Published: (2024)
by: Jiang, Zhonghua, et al.
Published: (2024)
A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations
by: Gomez, Alvaro Almeida
Published: (2025)
by: Gomez, Alvaro Almeida
Published: (2025)
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
by: Lell, Nicolas, et al.
Published: (2024)
by: Lell, Nicolas, et al.
Published: (2024)
Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds
by: Zhang, Shuhai, et al.
Published: (2024)
by: Zhang, Shuhai, et al.
Published: (2024)
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
by: Arroyo, Álvaro, et al.
Published: (2025)
by: Arroyo, Álvaro, et al.
Published: (2025)
Compressed Video Aggregator: Content-driven Module for Efficient Micro-Video Recommendation
by: Xiao, Yang, et al.
Published: (2026)
by: Xiao, Yang, et al.
Published: (2026)
Similar Items
-
ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation
by: Zhu, Yuqicheng, et al.
Published: (2025) -
GR-Agent: Adaptive Graph Reasoning Agent under Incomplete Knowledge
by: Zhou, Dongzhuoran, et al.
Published: (2025) -
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
by: He, Yunjie, et al.
Published: (2023) -
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
by: Zhu, Yuqicheng, et al.
Published: (2025) -
Generating $SROI^-$ Ontologies via Knowledge Graph Query Embedding Learning
by: He, Yunjie, et al.
Published: (2024)