Deep Learning on Graphs @Networks__JC
Daily updates on graph neural networks and network analytics. Joined September 2022-
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A Survey of Graph Meets Large Language Model: Progress and Future Directions doi.org/10.48550/arXiv…
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MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks doi.org/10.1016/j.neun…
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism doi.org/10.1016/j.neun…
Balanced influence maximization in social networks based on deep reinforcement learning doi.org/10.1016/j.neun…
LaenNet: Learning robust GCNs by propagating labels doi.org/10.1016/j.neun…
Multi-hop question answering using sparse graphs doi.org/10.1016/j.enga…
On exploring node-feature and graph-structure diversities for node drop graph pooling doi.org/10.1016/j.neun…
Graph embedding based multi-label Zero-shot Learning doi.org/10.1016/j.neun…
Multi-view subspace clustering via adaptive graph learning and late fusion alignment doi.org/10.1016/j.neun…
Graph and Geometry Generative Modeling for Drug Discovery doi.org/10.1145/358030…
Position and structure-aware graph learning doi.org/10.1016/j.neuc…
Heterogeneous network representation learning based on role feature extraction doi.org/10.1016/j.patc…
Graph matching for knowledge graph alignment using edge-coloring propagation doi.org/10.1016/j.patc…
Topology identification for stochastic multi-layer networks via graph-theoretic method doi.org/10.1016/j.neun…
DyTSCL: Dynamic graph representation via tempo-structural contrastive learning doi.org/10.1016/j.neuc…
Heterogeneous graph attention network with motif clique doi.org/10.1016/j.neuc…
Graph convolution with topology refinement for Automatic Reinforcement Learning doi.org/10.1016/j.neuc…
Graph clustering network with structure embedding enhanced doi.org/10.1016/j.patc…
A survey on graph embedding techniques for biomedical data: Methods and applications doi.org/10.1016/j.inff…
Node injection for class-specific network poisoning doi.org/10.1016/j.neun…
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