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KDD 2025 - Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs
Parameterized Correlation Clustering: The back story for our KDD 2020 paper
Graph Convolutional Networks (GCNs) made simple
KDD 2025 - Self-Supervised Continual Graph Learning via Adaptive Spaced Replay on Node Proxies
KDD 2025 - SMA-GNN: A Symbol-Aware Graph Neural Network for Signed Link Prediction
KDD 2025 -Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification
KDD 2025 - TransPlace: Transferable Circuit Global Placement via Graph Neural Network
[PAKDD 2025] ReducedGCN: Learning to Adapt Graph Convolution for Top-N Recommendation
Network Science. Lecture15. Machine learning on graphs. Node classification.
KDD 2025 - AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection
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Last Updated: August 23, 2026
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