Template: | ConfName | PaperTitle | [pdf] [code] |

Contents

• Fair Graph Mining
  • Degree-related bias
  • Class-related bias
  • Supervision-related bias
• Graph Learning with Weak Supervision
• Graph Neural Network Architecture
• Graph Anomaly Detection
• Graph Data Augmentation
• Graph Uncertainty
• Graph Contrastive Learning
• Spatio-temporal Graph Mining

Fair Graph Mining

Degree-related bias

Venue	Title	Links
WWW'22	Rawlsgcn: Towards rawlsian difference principle on graph convolutional network	[pdf] [code]
CIKM'20	Investigating and mitigating degree-related biases in graph convoltuional networks	[pdf]

Class-related bias

Venue	Title	Links
ICML'22	TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification	[pdf] [code]
ICLR'22	GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification	[pdf] [code]
CIKM'22	LTE4G: Long-Tail Experts for Graph Neural Networks	[pdf] [code]
arXiv'21	GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction	[pdf]
NeurIPS'21	Topology-Imbalance Learning for Semi-Supervised Node Classification [中文博客]	[pdf] [code]
WSDM'21	GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks [中文博客]	[pdf] [code]
IJCAI'20	Multi-Class Imbalanced Graph Convolutional Network Learning	[pdf]
J MIA	RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data	[pdf]

Supervision-related bias

Venue	Title	Links
NeurIPS'21	Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data	[pdf] [code]

Graph Learning with Weak Supervision

• https://github.com/kaize0409/awesome-few-shot-gnn

Venue	Title	Links
AAAI'20	Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes	[pdf]
arXiv	Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity	[pdf]
WSDM'23	Few-shot Node Classification with Extremely Weak Supervision	[pdf] [code]
ICDM'22	Generalized Few-Shot Node Classification	[pdf] [code]

Graph Neural Network Architecture

Venue	Title	Links
ICML'19	Simplifying Graph Convolutional Networks	[pdf]

Graph Anomaly Detection

Venue	Title	Links
TKDE'21	A Comprehensive Survey on Graph Anomaly Detection with Deep Learning	[pdf] [code]
ICDM'21	FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance	[pdf] [code]
WWW'21	Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection	[pdf] [code]
WWW'21	Few-shot Network Anomaly Detection via Cross-network Meta-learning	[pdf] [code]

Graph Data Augmentation

• https://github.com/kaize0409/awesome-graph-data-augmentaion

Venue	Title	Links
arXiv'22	Graph Data Augmentation for Graph Machine Learning: A Survey	[pdf] [code]
KDD'22	COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning	[pdf] [code]

Graph Uncertainty

Venue	Title	Links
KDD'22	JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks	[pdf]

Graph Contrastive Learning

Venue	Title	Links
IJCAI'21	CuCo: Graph Representation with Curriculum Contrastive Learning	[pdf] [code]

Spatio-temporal Graph Mining

Venue	Title	Links
CSUR'18 (Survey)	Spatio-temporal data mining: A survey of problems and methods	[pdf]
CIKM'21 (Survey)	DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction	[pdf] [code]
AAAI'21	Hierarchical Graph Convolution Network for Traffic Forecasting	[pdf]
AAAI'21	Spatial-temporal fusion graph neural networks for traffic flow forecasting	[pdf] [code]
WWW'21	Network of Tensor Time Series	[pdf] [code]
IJCAI'18	STGCN: Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting	[pdf] [code]
ICLR'18	DCRNN: Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting	[pdf] [code]