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2006.05205
Cited By
On the Bottleneck of Graph Neural Networks and its Practical Implications
9 June 2020
Uri Alon
Eran Yahav
GNN
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Papers citing
"On the Bottleneck of Graph Neural Networks and its Practical Implications"
50 / 403 papers shown
Title
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55
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Next Level Message-Passing with Hierarchical Support Graphs
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Florian Grötschla
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A Scalable and Effective Alternative to Graph Transformers
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48
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17 Jun 2024
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Antonio Longa
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Graph Neural Reaction Diffusion Models
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Eldad Haber
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Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
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37
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Introducing Diminutive Causal Structure into Graph Representation Learning
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47
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What Can We Learn from State Space Models for Machine Learning on Graphs?
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44
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PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
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Hyowon Wi
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49
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Learning Long Range Dependencies on Graphs via Random Walks
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Karsten Borgwardt
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Long Range Propagation on Continuous-Time Dynamic Graphs
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Giulio Lovisotto
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Claas Grohnfeldt
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Temporal Graph Rewiring with Expander Graphs
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Shenyang Huang
Farimah Poursafaei
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52
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Graph Neural Networks Do Not Always Oversmooth
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Alexandre René
M. Helias
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38
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The Intelligible and Effective Graph Neural Additive Networks
Maya Bechler-Speicher
Amir Globerson
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42
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GATE: How to Keep Out Intrusive Neighbors
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R. Burkholz
47
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Graph External Attention Enhanced Transformer
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Arthur Kosmala
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UniIF: Unified Molecule Inverse Folding
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Jue Wang
Cheng Tan
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Yufei Huang
Siyuan Li
Zhirui Ye
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37
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Probabilistic Graph Rewiring via Virtual Nodes
Chendi Qian
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Mathias Niepert
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38
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Differentiable Cluster Graph Neural Network
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Mohammed Haroon Dupty
Lambert Deng
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Yong Liang Goh
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Bundle Neural Networks for message diffusion on graphs
Jacob Bamberger
Federico Barbero
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39
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Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
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57
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How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
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46
21
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Conditional Shift-Robust Conformal Prediction for Graph Neural Network
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53
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ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks
Yufei Jin
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53
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Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
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43
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CKGConv: General Graph Convolution with Continuous Kernels
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GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation Extraction
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39
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Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
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Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
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VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
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