LOG 2022 Conference Submissions

The Multi-Orbits Skew Spectrum: Boosting Permutation-Invariant Data Representations
Armando Bellante, Martin Plávala, Alessandro Luongo
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Oral
- Readers: Everyone
Influence-Based Mini-Batching for Graph Neural Networks
Johannes Gasteiger, Chendi Qian, Stephan Günnemann
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Oral
- Readers: Everyone
Neural Graph Databases
Maciej Besta, Patrick Iff, Florian Scheidl, Kazuki Osawa, Nikoli Dryden, Michal Podstawski, Tiancheng Chen, Torsten Hoefler
- Published: 24 Nov 2022, Last Modified: 12 Mar 2024
- LoG 2022 Poster
- Readers: Everyone
Graph-Time Convolutional Autoencoders
Mohammad Sabbaqi, Riccardo Taormina, Alan Hanjalic, Elvin Isufi
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets
David W Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
PyTorch-Geometric Edge - a Library for Learning Representations of Graph Edges
Piotr Bielak, Tomasz Jan Kajdanowicz
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
Global Explainability of GNNs via Logic Combination of Learned Concepts
Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Lio, Andrea Passerini
- Published: 24 Nov 2022, Last Modified: 12 Mar 2024
- LoG 2022 Poster
- Readers: Everyone
GraB: Graph Benchmark for Heterogeneous Graph Clustering
Malik Sebastian Stær Knudsen, Laurits Almskou Brodal, Peter Kristoffer Peczalski, Atefeh Moradan, Davide Mottin, Ira Assent
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
Metric Based Few-Shot Graph Classification
Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà
- Published: 24 Nov 2022, Last Modified: 12 Mar 2024
- LoG 2022 Poster
- Readers: Everyone
Consensus Label Propagation with Graph Convolutional Networks for Single-Cell RNA Sequencing Cell Type Annotation
Daniel Phillip Lewinsohn, Donald F Conrad, Cory Braker Scott
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets
Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Oral
- Readers: Everyone
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations
Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Liping Liu
- Published: 24 Nov 2022, Last Modified: 12 Mar 2024
- LoG 2022 Poster
- Readers: Everyone
Learnable Commutative Monoids for Graph Neural Networks
Euan Ong, Petar Veličković
- Published: 24 Nov 2022, Last Modified: 12 Mar 2024
- LoG 2022 Poster
- Readers: Everyone
On the Expressive Power of Geometric Graph Neural Networks
Chaitanya K. Joshi, Cristian Bodnar, Simon V Mathis, Taco Cohen, Pietro Lio
- Published: 24 Nov 2022, Last Modified: 12 Mar 2024
- LoG 2022 Poster
- Readers: Everyone
Graph Machine Learning for Assembly Modeling
Carola Gajek, Alexander Schiendorfer, Wolfgang Reif
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
Leave Graphs Alone: Addressing Over-Squashing without Rewiring
Domenico Tortorella, Alessio Micheli
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
A Generalist Neural Algorithmic Learner
Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bošnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Veličković
- Published: 24 Nov 2022, Last Modified: 12 Mar 2024
- LoG 2022 Oral
- Readers: Everyone
Flashlight: Scalable Link Prediction with Effective Decoders
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
Graph Heavy Light Decomposed Networks: Towards learning scalable long-range graph patterns
Alan Marko, Peter Dominik Ralbovský
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
Revisiting Embeddings for Graph Neural Networks
Skye Purchase, Yiren Zhao, Robert D. Mullins
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
Representation Learning on Biomolecular Structures using Equivariant Graph Attention
Tuan Le, Frank Noe, Djork-Arné Clevert
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
Combining Graph and Recurrent Networks for Efficient and Effective Segment Tagging
David Montero, Javier Yebes
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
Global-Local Graph Neural Networks for Node-Classification
Moshe Eliasof, Eran Treister
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone
Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression
Haitz Sáez de Ocáriz Borde, Federico Barbero
- Published: 24 Nov 2022, Last Modified: 05 May 2023
- LoG 2022 Poster
- Readers: Everyone