Post #525

Fresh picks from ArXiv This week on ArXiv: self-supervised approach without negatives, review of generative models, and semantic search at AliBaba 👞 If I forgot to mention your paper, please shoot me a message and I will update the post. GNNs * Neural message passing for joint paratope-epitope prediction with Petar Veličković * Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data KDD 21 * GraphMI: Extracting Private Graph Data from Graph Neural Networks IJCAI 21 * Graph Barlow Twins: A self-supervised representation learning framework for graphs * Motif Prediction with Graph Neural Networks * SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks Algorithms * AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba KDD 2021 * Stochastic Iterative Graph Matching ICML 2021 * Convergent Graph Solvers Survey * Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions with Karsten Borgwardt * Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey * Graph-based Deep Learning for Communication Networks: A Survey