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Poster
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Tue 2:30
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Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
Haixiao Wang · Zhichao Wang
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Poster
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Thu 2:30
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Graph Neural PDE Solvers with Conservation and Similarity-Equivariance
Masanobu Horie · NAOTO MITSUME
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Poster
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Thu 4:30
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HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming
Yang Wu · Yifan Zhang · Zhenxing Liang · Jian Cheng
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Workshop
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Sparse Neural Architectures and Deterministic Ramanujan Graphs
Arindam Biswas · Suryam Arnav Kalra · Pabitra Mitra · Biswajit Basu
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Poster
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Thu 2:30
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Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders
XUE YU · Muchen Li · Yan Leng · Renjie Liao
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Workshop
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Fairness Through Controlled (Un)Awareness in Node Embeddings
Dennis Vetter · Jasper Forth · Gemma Roig · Holger Dell
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Workshop
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Gene Regulatory Network Inference from Pre-trained Single-Cell Transcriptomics Transformer with Joint Graph Learning
Sindhura Kommu · Yizhi Wang · Yue Wang · Xuan Wang
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Workshop
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Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
Ashka Shah · Adela DePavia · Nathaniel Hudson · Ian Foster · Rick Stevens
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Workshop
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Transferability for Graph Convolutional Networks
Christian Koke · Abhishek Saroha · Yuesong Shen · Marvin Eisenberger · Michael Bronstein · Daniel Cremers
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Poster
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Tue 2:30
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HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
Andrey Bryutkin · Jiahao Huang · Zhongying Deng · Guang Yang · Carola-Bibiane Schönlieb · Angelica I Aviles-Rivero
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Affinity Workshop
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Changepoint Detection in Highly-Atributed Dynamic Graphs
Emiliano Penaloza · Nathaniel Stevens
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Workshop
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SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States
Noga Mudrik · Gal Mishne · Adam Charles
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