eeg-gcnnResources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
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GNN4CDSupervised community detection with line graph neural networks
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deepsphere-cosmo-tf1A spherical convolutional neural network for cosmology (TFv1).
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KGPool[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction
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GraphLIMEThis is a Pytorch implementation of GraphLIME
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graph-convnet-tspCode for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
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NBFNetOfficial implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
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TIMMETIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)
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graphtransRepresenting Long-Range Context for Graph Neural Networks with Global Attention
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Meta-GDN AnomalyDetectionImplementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
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sdn-nfv-papersThis is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).
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GeometricFlux.jlGeometric Deep Learning for Flux
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InterGCN-ABSA[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis
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gnn-lspeSource code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
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GNNSCVulDetectorSmart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)
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LibAUCAn End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).
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RL-based-Graph2Seq-for-NQGCode & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"
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OpenHGNNThis is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
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