Summary of Synergistic Deep Graph Clustering Network, by Benyu Wu et al.
Synergistic Deep Graph Clustering Networkby Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding,…
Summary of Capturing Temporal Components For Time Series Classification, by Venkata Ragavendra Vavilthota et al.
Capturing Temporal Components for Time Series Classificationby Venkata Ragavendra Vavilthota, Ranjith Ramanathan, Sathyanarayanan N. AakurFirst…
Summary of Latent Functional Maps: a Spectral Framework For Representation Alignment, by Marco Fumero et al.
Latent Functional Maps: a spectral framework for representation alignmentby Marco Fumero, Marco Pegoraro, Valentino Maiorca,…
Summary of Evaluating Representation Learning on the Protein Structure Universe, by Arian R. Jamasb and Alex Morehead and Chaitanya K. Joshi and Zuobai Zhang and Kieran Didi and Simon V. Mathis and Charles Harris and Jian Tang and Jianlin Cheng and Pietro Lio and Tom L. Blundell
Evaluating representation learning on the protein structure universeby Arian R. Jamasb, Alex Morehead, Chaitanya K.…
Summary of Effective Edge-wise Representation Learning in Edge-attributed Bipartite Graphs, by Hewen Wang et al.
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphsby Hewen Wang, Renchi Yang, Xiaokui XiaoFirst submitted…
Summary of T-jepa: a Joint-embedding Predictive Architecture For Trajectory Similarity Computation, by Lihuan Li et al.
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computationby Lihuan Li, Hao Xue, Yang Song,…
Summary of Virl: Volume-informed Representation Learning Towards Few-shot Manufacturability Estimation, by Yu-hsuan Chen et al.
VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimationby Yu-hsuan Chen, Jonathan Cagan, Levent Burak karaFirst…
Summary of Uniglm: Training One Unified Language Model For Text-attributed Graph Embedding, by Yi Fang et al.
UniGLM: Training One Unified Language Model for Text-Attributed Graph Embeddingby Yi Fang, Dongzhe Fan, Sirui…
Summary of A Scalable and Effective Alternative to Graph Transformers, by Kaan Sancak et al.
A Scalable and Effective Alternative to Graph Transformersby Kaan Sancak, Zhigang Hua, Jin Fang, Yan…
Summary of Learning Sum Of Diverse Features: Computational Hardness and Efficient Gradient-based Training For Ridge Combinations, by Kazusato Oko et al.
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinationsby Kazusato…