NeurIPS 2023 Workshop GLFrontiers Submissions

Graph Pooling Provably Improves Expressivity
Veronica Lachi, Alice Moallemy-Oureh, Andreas Roth, Pascal Welke
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
ResolvNet: A Graph Convolutional Network with multi-scale Consistency
Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Daniel Cremers
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Oral
- Readers: Everyone
HoloNets: Spectral Convolutions do extend to Directed Graphs
Christian Koke, Daniel Cremers
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Oral
- Readers: Everyone
The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure
Anton Tsitsulin, Bryan Perozzi
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Graph Neural Networks on Discriminative Graphs of Words
Yassine ABBAHADDOU, Johannes Lutzeyer, Michalis Vazirgiannis
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, Daniel Daza, Peter Bloem
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Talk like a Graph: Encoding Graphs for Large Language Models
Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure
Tamara Müller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Motif-aware Attribute Masking for Molecular Graph Pre-training
Eric Inae, Gang Liu, Meng Jiang
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Oral
- Readers: Everyone
Towards Foundation Models for Knowledge Graph Reasoning
Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
PowerGraph: A power grid benchmark dataset for graph neural networks
Anna Varbella, Kenza Amara, Blazhe Gjorgiev, Giovanni Sansavini
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Order Agnostic Autoregressive Graph Generation
Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Node Mutual Information: Enhancing Graph Neural Networks for Heterophily
Seongjin Choi, Gahee Kim, Se-Young Yun
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Implicit Graph Neural Diffusion Based on Constrained Dirichlet Energy Minimization
Guoji Fu, Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Semi-Supervised Graph Imbalanced Regression
Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Qiying Pan, Ruofan Wu, Tengfei LIU, Tianyi Zhang, Yifei Zhu, Weiqiang Wang
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Subgraphormer: Subgraph GNNs meet Graph Transformers
Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
Karuna Bhaila, Wen Huang, Yongkai Wu, Xintao Wu
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
GAD-EBM: Graph Anomaly Detection using Energy-Based Models
Amit Roy, Juan Shu, Olivier Elshocht, Jeroen Smeets, Ruqi Zhang, Pan Li
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Graph Meets LLMs: Towards Large Graph Models
Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
One Node Per User: Node-Level Federated Learning for Graph Neural Networks
Zhidong Gao, Yuanxiong Guo, Yanmin Gong
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Prompt Learning Unlocked for App Promotion in the Wild
Zhongyu Ouyang, Shifu Hou, Shang Ma, Chaoran Chen, Chunhui Zhang, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Its All Graph To Me: Single-Model Graph Representation Learning on Multiple Domains
Alex Davies, Riku Green, Nirav Ajmeri, Telmo Silva Filho
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
EDGE++: Improved Training and Sampling of EDGE
Xiaohui Chen, Mingyang Wu, Liping Liu
- Published: 28 Oct 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone