LOG 2023 Conference Submissions

Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets
Jiale Yan, Hiroaki Ito, Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Masato Motomura
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Extending Graph Neural Networks with Global Features
Andrei Dragos Brasoveanu, Fabian Jogl, Pascal Welke, Maximilian Thiessen
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Parallel Algorithms Align with Neural Execution
Valerie Engelmayer, Dobrik Georgiev Georgiev, Petar Veličković
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Generative modeling of labeled graphs under data scarcity
Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Transformers over Directed Acyclic Graphs
Yuankai Luo, Veronika Thost, Lei Shi
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification under Graph Label Corruption
Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Kangkook Jee, Yulia Gel
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
On the Robustness of Post-hoc GNN Explainers to Label Noise
Zhiqiang Zhong, Yangqianzi Jiang, Davide Mottin
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Geometric Epitope and Paratope Prediction
Marco Pegoraro, Clémentine Carla Juliette Dominé, Emanuele Rodolà, Petar Veličković, Andreea Deac
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T Schaub, Danai Koutra
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
GSCAN: Graph Stability Clustering for Applications with Noise using Edge-Aware Excess-of-Mass
Etzion Harari, Naphtali Abudarham, Roee Litman
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Recursive Algorithmic Reasoning
Jonas Jürß, Dulhan Hansaja Jayalath, Petar Veličković
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
Cycle Invariant Positional Encoding for Graph Representation Learning
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched with Attributes and Layers
Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha Talukdar
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Point-wise Activations and Steerable Convolutional Networks
Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
- Published: 18 Nov 2023, Last Modified: 28 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Topological Graph Signal Compression
Guillermo Bernardez, Lev Telyatnikov, Eduard Alarcon, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Lio
- Published: 18 Nov 2023, Last Modified: 25 Nov 2023
- LoG 2023 Oral
- Readers: Everyone
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
EMP: Effective Multidimensional Persistence for Graph Representation Learning
Yuzhou Chen, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia Gel, Baris Coskunuzer
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Interaction Models and Generalized Score Matching for Compositional Data
Shiqing Yu, Mathias Drton, Ali Shojaie
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
Jing Gu, Dongmian Zou
- Published: 18 Nov 2023, Last Modified: 29 Nov 2023
- LoG 2023 Poster
- Readers: Everyone
Advection Diffusion Reaction Graph Neural Networks for Spatio-Temporal Data
Moshe Eliasof, Eldad Haber, Eran Treister
- Published: 18 Nov 2023, Last Modified: 30 Nov 2023
- LoG 2023 Poster
- Readers: Everyone