Edwin Hancock
12 papers · 2015–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) πΊοΈ Taxonomy Completionist (15) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(12)
π
Conference Polyglot
(3)
π€
Dynamic Duo
(10)
π
Century Club
(12)
β‘
Prolific Year
(7)
Conferences
IJCAI (8)
ICML (3)
AAAI (1)
Top co-authors
Keywords
graph neural network
(6)
graph classification
(5)
graph kernel
(3)
attention mechanism
(3)
weighted graph
(2)
graph representation learning
(1)
graph representation
(1)
hierarchical alignment
(1)
latent representation
(1)
convolutional neural network
(1)
end-to-end learning
(1)
jensen-shannon divergence
(1)
hierarchical pooling
(1)
convolutional filter
(1)
graph auto-encoder
(1)
entropy-based analysis
(1)
node feature discretization
(1)
top-k node selection
(1)
multi-view scoring
(1)
cluster aggregation
(1)
Papers
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
AAAI 2025
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
IJCAI 2025
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
IJCAI 2025
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
IJCAI 2025
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
IJCAI 2025
An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection
IJCAI 2025
ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
ICML 2025
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
ICML 2024
Learning for Graph Matching and Related Combinatorial Optimization Problems
IJCAI 2020
Latent Distribution Preserving Deep Subspace Clustering
IJCAI 2019
An Aligned Subtree Kernel for Weighted Graphs
ICML 2015
A Graph Kernel Based on the Jensen-Shannon Representation Alignment
IJCAI 2015