2nd workshop on Graphs and more Complex structures for Learning and Reasoning

Colocated with AAAI 2022

Accepted papers

  1. Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks?

  2. COMMUNITY-IM: A Community-based Algorithm for Social Influence Maximization.

  3. Clustering with UMAP: Why and How Connectivity Matters

  4. Learning Heuristics for the Maximum Clique Enumeration Problem Using Higher-Order Graph Structures

  5. Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs

  6. Graph Regression and Classification using Permutation Invariant Representations

  7. Learning with Molecules beyond Graph Neural Networks

  8. Visualizing and Quantifying Linear and Periodic Structures in Directed Networks

  9. Reconstructing Water Distribution Networks Using Spanning Trees and Edge Convolutions

  10. Graph Reasoning Networks

  11. Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure

  12. Algorithmic Information Design for Singleton Congestion Games

  13. Set Twister for Single-hop Node Classification

  14. Representation Learning with Graph Neural Networks for Speech Emotion Recognition