SUMIN PARK
SUMIN PARK

Interested in Geometric Deep Neural Networks and Their Phyiscal Applications

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2024 © SUMIN PARK

  • ALL (180)
  • PAPERS
    Convolutional Neural Networks (6) Transformer (3) Optimization (2) Representation (1) Object Detection (5) Generative Models (1) Graph Neural Networks (10)
  • DL
    Deep Learning Specialization (6) cs231n (Stanford) (7) Signals & Systems (9)
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  • PYTHON
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[Paper Review] A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants

Outlines Reference 1. Weisfeiler-Lehman Graph Isomorphism Test 1.1. WL Test 1.2. k-WL Test 1.3. k-FWL...

2023, Nov 22   —  5 minute read

[Papers Review] Summaries of Papers Focusing on Graph Rewiring to Address Over-Squashing

Note that all summaries here are for personal purpose to better understand mathematical details of...

2023, Nov 14   —  3 minute read

[Papers Review & Implementation] Hyperbolic Neural Networks - Part 2 : Implementing Hyperbolic Graph Convolutional Networks (HGCN)

Outlines Reference HGCN : Implementing GCN in Hyperbolic Space 0. Hyperboloid Model 1. HGCN Layer...

2023, Oct 23   —  35 minute read

[GNN] Hyperbolic Neural Networks - Part 1 : Hyperbolic Geometry and Generalization of Euclidean Operations in Hyperbolic Space

Outlines Reference 1. Limitations of Euclidean Space to Represent the Hierarchical Data 2. Hyperbolic Geometry...

2023, Oct 13   —  11 minute read

[Paper Review] Summaries on a Collection of Papers on Graph Neural Networks (GraphSAGE, GAT, NRI, Neural ODE, CGNN, SGC, GRAND, GGNN, GRAFF)

Papers Summary : GraphSAGE Paper : Inductive Representation Learning on Large Graphs, Hamilton et al,...

2023, Aug 16   —  1 minute read

[Paper Review] Structural Deep Network Embedding (SDNE, 2016)

Outlines Reference Graph Embedding 1. Challenges for Learning Network Embeddings 2. Framework of SDNE 2.1....

2023, Jul 28   —  5 minute read

[Paper Review & Partial Implementation] Random Walks Based Graph Embeddings : DeepWalk, Node2Vec

Outlines Reference Graph Embedding 1. DeepWalk 1.1. Algorithms for DeepWalk 1.2. PyTorch Implementation for DeepWalk...

2023, Jul 23   —  12 minute read

[GNN] Graph Convolutional Networks (GCNs) - Part 2 : Towards Spatial Graph Convolution (ChebNet, GCN)

Outlines Reference 1. Spectral Convolution 2. ChebNet : Re-Formulation of Spectral Filtering with K-Hops Localized...

2023, Jul 18   —  9 minute read

[GNN] Graph Convolutional Networks (GCNs) - Part 1 : Spectral Convolution on Graph

Outlines Reference 0. Spectral Convolution Operation on Graphs 1. Fourier Transform on Graph 2. Laplacian(Laplace...

2023, Jul 10   —  8 minute read

[Paper Review] Streaming Graph Neural Networks (DGNN, 2018)

Outlines Reference 1. Dynamic Graph Neural Networks (DGNN) 2. Frameworks of DGNN 2.1. Update Component...

2023, Jul 09   —  10 minute read