Project Reference

TODO

• 2019 | WWW | Heterogeneous Graph Attention Network | tutorial | media

Hierarchical Graph

• 2020 | AAAI | ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations | paper
• 2020 | Hierarchical graph attention networks for semi-supervised node classification | paper
• 2019 | WWW | Semi-Supervised Graph Classification: A Hierarchical Graph Perspective | paper
• 2018 | NIPS | Hierarchical Graph Representation Learning with Differentiable Pooling | paper | code
• 2004 | Hierarchical Graph Maps | paper
• 2002 | An Abstract Model of Hierarchical Graphs and Hierarchical Graph Transformation | thesis

GSP / GNN / GDL

Graph Signal Processing (GSP) & Graph Neural Networks (GNN) & Geometric Deep Learning (GDL)

Resources

Graph signal processing & Geometric deep learning

Papers

Survey:

Year	Paper
2020	Machine Learning on Graphs: A Model and Comprehensive Taxonomy
2020	A comprehensive survey on graph neural networks
2020	Deep Learning on Graphs
2018	Representation Learning on Graphs: Methods and Applications
2018	Graph Signal Processing: Overview, Challenges, and Applications

Others:

Year	Paper
2020	Graph Neural Networks: Architectures, Stability and Transferability
2019	Convolutional Neural Network Architectures for Signals Supported on Graphs
2019	Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
2019	Learning Graphs From Data: A Signal Representation Perspective
2019	Connecting the Dots: Identifying Network Structure via Graph Signal Processing
2018	Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics
2017	HARP: Hierarchical Representation Learning for Networks
2013	The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

Tools

• Graph Signal Processing
  • PyGSP: Graph Signal Processing in Python
  • GraSP: Graph Signal Processing and Visualization Toolbox
  • GSP: The Graph Signal Processing toolbox
• Geometric Deep Learning
  • PyTorch Geometric | paper
  • Deep Graph Library (DGL)
  • Graph Attention Networks(GAT)

Graph Matching / Graph Similarity

Survey:

• 2019 | Deep Graph Similarity Learning: A Survey | paper

Paper:

• 2020 | ICLR | Deep Graph Matching Consensus | paper
• 2020 | ICLR | Hierarchical Graph Matching Networks for Deep Graph Similarity Learning | paper(rejected)
• 2020 | AAAI | Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching | paper
• 2019 | ICML | Graph Matching Networks for Learning the Similarity of Graph Structured Objects | paper | talk
• 2019 | WSDM | SimGNN: A Neural Network Approach to Fast Graph Similarity Computation | paper | code

Others:

• 2014 | Node Similarity, Graph Similarity and Matching: Theory and Applications | slide
• 2011 | Algorithms for Graph Similarity and Subgraph Matching | report | slide