Graphs and more Complex structures for Learning and Reasoning

Workshop at AAAI 2021

Accepted papers

  1. Classification of Complex Networks Using Structural Analysis of Random Graph Models (pdf), (video), (poster)

Authors: Ali Baran Tasdemir, Barkin Atasay and Lale Ozkahya


  1. Factor Graph Molecule Network for Structure Elucidation (pdf), (video), (poster)

Authors: Hieu Le Trung, Yiqing Xu and Wee Sun Lee


  1. DynamicGraphUCB - Personalized Recommendations on Evolving User Graphs (pdf), (video), (poster)

Authors: Lokesh Kumar and Arun Rajkumar


  1. Explaining Neural Matrix Factorization with Gradient Rollback (pdf), (video)

Authors: Carolin Lawrence, Mathias Niepert and Timo Sztyler


  1. Graph Signal Processing-Based Energy Modeling and Forecasting for Commercial Buildings (pdf), (video), (poster)

Authors: Yashodhan Reddy N, Naveen Kumar Thokala, Vishnu Brindavanam, Spoorthy Paresh and Girish Chandra M

  1. The Role of Isomorphism Classes in Multi-Relational Datasets (video), (poster)

Authors: Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales and Pietro Lió

  1. Fixed Priority Global Scheduling from a Deep Learning Perspective (pdf), (video), (poster)

Authors: Hyunsung Lee, Michaël Wang and Honguk Woo


  1. Rank Refinement: An Algorithmic Framework with Applications to Diversity Aware Influence Maximization (pdf), (video), (poster)

Authors: Prateek Yadav and Arun Rajkumar


  1. Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders (pdf), (video), (poster)

Authors: Bhushan Kotnis, Carolin Lawrence and Mathias Niepert


  1. Gaussian Processes on Graphs via Spectral Kernel Learning (video), (poster)

Authors: Yin-Cong Zhi, Yin Cheng Ng and Xiaowen Dong


  1. Guiding Graph Embeddings using Path-Ranking Methods for Error Detection in noisy Knowledge Graphs (pdf), (video), (poster)

Authors: Konstantinos Bougiatiotis, Romanos Fasoulis, Fotis Aisopos, Anastasios Nentidis and Georgios Paliouras


  1. Regularized Spectral methods for Clustering Signed Networks (pdf), (video), (poster)

Authors: Mihai Cucuringu, Apoorv Singh, Deborah Sulem and Hemant Tyagi


  1. Neural Concept Formation in Knowledge Graphs (pdf), (video), (poster)

Authors: Agnieszka Dobrowolska, Antonio Vergari and Pasquale Minervini


  1. Algorithms for Handling Uncertainty in Input Graphs (video)

Authors: Sugyani Mahapatra and Manikandan Narayanan

The flash ppt videos of accepted papers can also be found at this link on Youtube.