graph representation learning

Spectral embedding for dynamic networks with stability guarantees NeurIPS 2021 Topological Relational Learning on Graphs NeurIPS 2021 Topology-Imbalance Learning for Semi-Supervised Node Classification NeurIPS 2021 UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks IJCAI 2021 Why Do Attributes Propagate in Graph Convolutional Neural Networks? AAAI 2021 WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset NAACL 2021 A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices NeurIPS 2020 Autoencoding Keyword Correlation Graph for Document Clustering ACL 2020 Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About? EMNLP 2020 Contrastive Multi-View Representation Learning on Graphs ICML 2020 Disentangle-based Continual Graph Representation Learning EMNLP 2020 Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning NeurIPS 2020 Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning CVPR 2020 EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs AAAI 2020 Exploiting Mutual Information for Substructure-aware Graph Representation Learning IJCAI 2020 Graph Contrastive Learning with Augmentations NeurIPS 2020 Graph Representation Learning via Ladder Gamma Variational Autoencoders AAAI 2020 GSSNN: Graph Smoothing Splines Neural Networks AAAI 2020 Handling Missing Data with Graph Representation Learning NeurIPS 2020 Independence Promoted Graph Disentangled Networks AAAI 2020 Inductive and Unsupervised Representation Learning on Graph Structured Objects ICLR 2020 InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization ICLR 2020 Learning Graph Structure With A Finite-State Automaton Layer NeurIPS 2020 Probabilistic Learning on Graphs via Contextual Architectures JMLR 2020 Robust Graph Representation Learning via Neural Sparsification ICML 2020