# Accepted Papers

This is the list of all accepted papers. You can find more information
about each submission by following either the *Forum* link or by visiting
the OpenReview Workshop Website.

# Statistics

We received 39 submissions, of which we accepted 5 spotlight presentations and 22 posters.

# Spotlight Presentations

**Directional Graph Networks** (Spotlight presentation)

Dominique Beaini • Saro Passaro • Vincent Létourneau • William L. Hamilton • Gabriele Corso • Pietro Liò

❦

**Don’t stack layers in graph neural networks, wire them randomly** (Spotlight presentation)

Diego Valsesia • Giulia Fracastoro • Enrico Magli

❦

**Geometry encoding for numerical simulations** (Spotlight presentation)

Amir Maleki • Jan Heyse • Rishikesh Ranade • Haiyang He • Priya Kasimbeg • Jay Pathak

❦

**On Linear Interpolation in the Latent Space of Deep Generative Models** (Spotlight presentation)

Mike Yan Michelis • Quentin Becker

❦

**Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks** (Spotlight presentation)

Cristian Bodnar • Fabrizio Frasca • Yu Guang Wang • Nina Otter • Guido Montufar • Pietro Liò • Michael M. Bronstein

# Poster Presentations

**A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space**

Zhangyu Wang • Lantian Xu • Zhifeng Kong • Weilong Wang • Xuyu Peng • Enyang Zheng

❦

**Attend to connect: GNN for predicting brain functional connectivity**

Usman Mahmood • Zening Fu • Vince Calhoun • Sergey Plis

❦

**AutoGL: A Library for Automated Graph Learning**

Chaoyu Guan • Ziwei Zhang • Haoyang Li • Heng Chang • Zeyang Zhang • Yijian Qin • Jiyan Jiang • Xin Wang • Wenwu Zhu

❦

**Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures**

Arseny Tolmachev • akira sakai • Masaru Todoriki • Koji Maruhashi

❦

**Bootstrapped Representation Learning on Graphs**

Shantanu Thakoor • Corentin Tallec • Mohammad Gheshlaghi Azar • Remi Munos • Petar Veličković • Michal Valko

❦

**Chemistry-informed Macromolecule Graph Representation for Similarity Computation and Supervised Learning**

Somesh Mohapatra • Joyce An • Rafael Gomez-Bombarelli

❦

**Exploring epithelial-cell calcium signaling with geometric and topological data analysis**

Feng Gao • Jessica Moore • Bastian Rieck • Valentina Greco • Smita Krishnaswamy

❦

**Fast GRL with Unique Optimal Solutions**

Sami Abu-El-Haija • Valentino Crespi • Greg Ver Steeg • Aram Galstyan

❦

**GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks**

Vijay Lingam • Arun Iyer • Rahul Ragesh

❦

**Grassmann Graph Embedding**

Bingxin Zhou • Xuebin Zheng • Yu Guang Wang • Ming Li • Junbin Gao

❦

**LDLE: Low Distortion Local Eigenmaps**

Dhruv Kohli • Alex Cloninger • Gal Mishne

❦

**LIDL: Local Intrinsic Dimension estimation using Likelihood**

Piotr Tempczyk • Adam Golinski • Przemysław Spurek • Jacek Tabor

❦

**Low-rank projections of GCNs Laplacian**

Nathan Grinsztajn • Philippe Preux • Edouard Oyallon

❦

**On the Stability of Graph Convolutional Neural Networks under Edge Rewiring**

Henry Kenlay • Dorina Thanou • Xiaowen Dong

❦

**Online High-Dimensional Change-Point Detection using Topological Data Analysis**

Xiaojun Zheng • Simon Mak • Yao Xie

❦

**Persistent Message Passing**

Heiko Strathmann • Mohammadamin Barekatain • Charles Blundell • Petar Veličković

❦

**Recovering Barabási-Albert Parameters of Graphs through Disentanglement**

Cristina Guzmán • Daphna Keidar • Tristan Meynier • Andreas Opedal • Niklas Stoehr

❦

**Sanity Check for Persistence Diagrams**

Chen Cai

❦

**Scaling Up Graph Homomorphism Features with Efficient Data Structures**

Paul Beaujean • Florian Sikora • Florian Yger

❦

**Self-supervised representation learning on manifolds**

Eric O Korman

❦

**Simplicial Regularization**

Jose Gallego-Posada • Patrick Forré

❦

**Unsupervised Geometric Disentanglement via CFAN-VAE**

Norman Joseph Tatro • Stefan C Schonsheck • Rongjie Lai