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25 repositories
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
- The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.
CAPER
Public- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)
- Select a set of pairs to check in link prediction from the vast, sparse space of possible pairs
CPGNN
Public- Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
PhUSION
Public- GNN with summarization/grouping layer for speed and interpretability
CONE-Align
PublicPENminer
PublicMeasuring the persistence of activity snippets in evolving networks (KDD '20)- Hashing-based network discovery from time series
- Personalized knowledge graph summarization based on historical queries
KGist
PublicKnowledge Graph summarization for anomaly/error detection & completion (WebConf '20)- Node embedding for directed, weighted networks
HashAlign
PublicHashing-based network alignment based on structural featuresnode2bits
PublicCompact time- and attribute-aware node representationsRGM
PublicFast embedding-based graph classification with connections to kernels- Slides and code for the Morgan Claypool book on "Individual and Collective Graph Mining: Principles, Algorithms and Applications"
MultiLENS
PublicFramework for latent network summarization: bridging network embedding and summarization- Network datasets of post-PhD career transitions and trajectories in computing research
- Summarization of static graphs using the Minimum Description Length principle