NeurIPS 2023 Workshop GLFrontiers Submissions

Uncertainty-Aware Robust Learning on Noisy Graphs
Shuyi Chen, Kaize Ding, Shixiang Zhu
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs
Kacper Kapusniak, Manuel Burger, Gunnar Ratsch, Amir Joudaki
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Florian Sestak, Lisa Schneckenreiter, Sepp Hochreiter, Andreas Mayr, Günter Klambauer
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Oral
- Readers: Everyone
A Simple and Scalable Representation for Graph Generation
Yunhui Jang, Seul Lee, Sungsoo Ahn
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction
Seohyeon Cha, Honggu Kang, Joonhyuk Kang
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Maximally Expressive GNNs for Outerplanar Graphs
Franka Bause, Fabian Jogl, Patrick Indri, Tamara Drucks, David Penz, Nils Kriege, Thomas Gärtner, Pascal Welke, Maximilian Thiessen
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Oral
- Readers: Everyone
How does over-squashing affect the power of GNNs?
Francesco Di Giovanni, T. Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Veličković
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Oral
- Readers: Everyone
Exploring the Potential of Large Language Models (LLMs) in Learning on Graph
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts
Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Nikola Simidjievski
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
ProtoHG: Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks
Shuai Wang, Jiayi Shen, Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
On the modelling and impact of negative edges in graph convolutional networks for node classification
Thu Trang Dinh, Julia Handl, Luis Ospina-Forero
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Long-Range Neural Atom Learning for Molecular Graphs
Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
- Published: 28 Oct 2023, Last Modified: 29 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
CuriousWalk: Enhancing Multi-Hop Reasoning in Graphs with Random Network Distillation
Varun Kausika, Saurabh Jha, Adya Jha, Amy Zhang, Michael Sury
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
MCGC: an MLP-based supervised Contrastive learning framework for Graph Classification
Xiao Yue, Bo Liu, Andrew Meng, Guangzhi Qu
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
Arjun Subramonian, Levent Sagun, Yizhou Sun
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Oral
- Readers: Everyone
Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity
Ali Behrouz, Parsa Delavari, Farnoosh Hashemi
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Towards Particle Flow Event Reconstruction at the Future Circular Collider with GNNs
Dolores Garcia, Gregor Kržmanc, Philipp Zehetner, Jan Kieseler, Michele Selvaggi
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Hierarchical Relationships: A New Perspective to Enhance Scene Graph Generation
Bowen Jiang, Camillo Taylor
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Shedding Light on Random Dropping and Oversmoothing
Han Xuanyuan, Tianxiang Zhao, Dongsheng Luo
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Graph Neural Networks Go Forward-Forward
Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Higher-Order Expander Graph Propagation
Thomas Christie, Yu He
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Estimating Epistemic Uncertainty of Graph Neural Networks using Stochastic Centering
Puja Trivedi, Mark Heimann, Rushil Anirudh, Danai Koutra, Jayaraman J. Thiagarajan
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
What Improves the Generalization of Graph Transformer? A Theoretical Dive into Self-attention and Positional Encoding
Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, ZAIXI ZHANG, Pin-Yu Chen
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks
Simiao Zuo, Haoming Jiang, Qingyu Yin, Xianfeng Tang, Bing Yin, Tuo Zhao
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
RL4CO: a Unified Reinforcement Learning for Combinatorial Optimization Library
Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, Jinkyoo Park
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Oral
- Readers: Everyone