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Exploring Graph Structure in Graph Neural Networks for Epidemic Forecasting
Ching-Hao Fan, Sai Supriya Varugunda, Lijing Wang
- Published: 20 Oct 2023, Last Modified: 21 Nov 2023
- TGL Workshop 2023 ShortPaper
- Readers: Everyone
A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data
Jungwon Choi, Seongho Keum, EungGu Yun, Byung-Hoon Kim, Juho Lee
- Published: 20 Oct 2023, Last Modified: 13 Dec 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers
Byung-Hoon Kim, Jungwon Choi, EungGu Yun, Kyungsang Kim, Xiang Li, Juho Lee
- Published: 20 Oct 2023, Last Modified: 13 Dec 2023
- TGL Workshop 2023 ShortPaper
- Readers: Everyone
Do Temporal Knowledge Graph Embedding Models Learn or Memorize Shortcuts?
Jiaxin Pan, Mojtaba Nayyeri, Yinan Li, Steffen Staab
- Published: 20 Oct 2023, Last Modified: 24 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
TBoost: Gradient Boosting Temporal Graph Neural Networks
Pritam Nath, Govind Waghmare, Nancy Agrawal, Nitish Kumar, Siddhartha Asthana
- Published: 20 Oct 2023, Last Modified: 24 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
GenTKG: Generative Forecasting on Temporal Knowledge Graph
Ruotong Liao, Xu Jia, Yunpu Ma, Volker Tresp
- Published: 20 Oct 2023, Last Modified: 24 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang
- Published: 20 Oct 2023, Last Modified: 23 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Topological and Temporal Data Augmentation for Temporal Graph Networks
Haoran Liu, Jianling Wang, Kaize Ding, James Caverlee
- Published: 20 Oct 2023, Last Modified: 23 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Towards predicting future time intervals on Temporal Knowledge Graphs
Roxana Pop, Egor Kostylev
- Published: 20 Oct 2023, Last Modified: 24 Nov 2023
- TGL Workshop 2023 ShortPaper
- Readers: Everyone
Inductive Link Prediction in Static and Temporal Graphs for Isolated Nodes
Ayan Chatterjee, Robin Walters, Giulia Menichetti, Tina Eliassi-Rad
- Published: 20 Oct 2023, Last Modified: 21 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Adaptive Message Passing Sign Algorithm
Changran Peng, Yi Yan, Ercan KURUOGLU
- Published: 20 Oct 2023, Last Modified: 23 Nov 2023
- TGL Workshop 2023 ShortPaper
- Readers: Everyone
Anomaly Detection in Continuous-Time Temporal Provenance Graphs
Jakub Reha, Giulio Lovisotto, Michele Russo, Alessio Gravina, Claas Grohnfeldt
- Published: 20 Oct 2023, Last Modified: 18 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Graph Kalman Filters
Daniele Zambon, Cesare Alippi
- Published: 20 Oct 2023, Last Modified: 27 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Gen-T: Reduce Distributed Tracing Operational Costs Using Generative Models
Saar Tochner, Giulia Fanti, Vyas Sekar
- Published: 20 Oct 2023, Last Modified: 18 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Deep graph kernel point processes
Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie
- Published: 20 Oct 2023, Last Modified: 23 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network
Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Rüdiger Nather, Josephine Thomas
- Published: 20 Oct 2023, Last Modified: 08 Nov 2023
- TGL Workshop 2023 ShortPaper
- Readers: Everyone
STGraph: A Framework for Temporal Graph Neural Networks
Nithin Puthalath Manoj, Joel Cherian, Kevin Jude Concessao, Unnikrishnan Cheramangalath
- Published: 20 Oct 2023, Last Modified: 19 Nov 2023
- TGL Workshop 2023 ShortPaper
- Readers: Everyone
Using Causality-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
Franziska Heeg, Ingo Scholtes
- Published: 20 Oct 2023, Last Modified: 24 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Continuous-time Graph Representation with Sequential Survival Process
Abdulkadir Celikkanat, Nikolaos Nakis, Morten Mørup
- Published: 20 Oct 2023, Last Modified: 28 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
Xiangjian Jiang, Yanyi Pu
- Published: 20 Oct 2023, Last Modified: 22 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao
- Published: 20 Oct 2023, Last Modified: 14 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
Andrea Cini, Danilo Mandic, Cesare Alippi
- Published: 20 Oct 2023, Last Modified: 05 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
DspGNN: Bringing Spectral Design to Discrete Time Dynamic Graph Neural Networks for Edge Regression
Leshanshui YANG, Clément Chatelain, Sébastien Adam
- Published: 20 Oct 2023, Last Modified: 19 Nov 2023
- TGL Workshop 2023 ShortPaper
- Readers: Everyone
DURENDAL: Graph deep learning framework for temporal heterogeneous networks
Manuel Dileo, Matteo Zignani, Sabrina Gaito
- Published: 20 Oct 2023, Last Modified: 04 Dec 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone
Mitigating Cold-start Problem Using Cold Causal Demand Forecasting Model
Zahra Fatemi, Minh Huynh, Elena Zheleva, Zamir Syed, Xiaojun Di
- Published: 20 Oct 2023, Last Modified: 23 Nov 2023
- TGL Workshop 2023 LongPaper
- Readers: Everyone

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